{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "A Gentle Introduction to PyTorch 1.2.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H7gQFbUxOQtb",
        "colab_type": "text"
      },
      "source": [
        "# A Gentle Introduction to PyTorch 1.2\n",
        "\n",
        "> \"This comprehensive tutorial aims to introduce the fundamentals of PyTorch building blocks for training neural networks.\" \n",
        "\n",
        "\n",
        "- toc: false\n",
        "- branch: master\n",
        "- badges: true\n",
        "- author: Elvis Saravia\n",
        "- comments: true\n",
        "- categories: [pytorch, beginner, deep learning]\n",
        "- image: images/intro-pytorch.png\n",
        "- hide: false\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ATv8yF4X3euI",
        "colab_type": "text"
      },
      "source": [
        "## About\n",
        "\n",
        "In our previous PyTorch [notebook](https://medium.com/dair-ai/pytorch-1-2-quickstart-with-google-colab-6690a30c38d), we learned about how to get started quickly with PyTorch 1.2 using Google Colab. In this tutorial, we are going to take a step back and review some of the basic components of building a deep learning model using PyTorch. \n",
        "\n",
        "This will be a brief tutorial and will avoid using jargon and overcomplicated code. That said, this is perhaps the most basic of models you can build with PyTorch. \n",
        "\n",
        "If fact, it is so basic that it's ideal for those starting to learn about PyTorch and deep learning. So if you have a friend or colleague that wants to jump in, I highly encourage you to refer them to this tutorial as a starting point. Let's get started!\n",
        "\n",
        "**Author:** [Elvis Saravia](https://twitter.com/omarsar0)\n",
        "\n",
        "**Complete Code Walkthrough:** [Blog post](https://medium.com/dair-ai/pytorch-1-2-introduction-guide-f6fa9bb7597c)\n",
        "\n",
        "---\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cA0Ke48uRkIM",
        "colab_type": "text"
      },
      "source": [
        "## Getting Started"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kaUbTa-dR4rh",
        "colab_type": "text"
      },
      "source": [
        "Before getting started, we need to import a few modules which will be useful to obtain the necessary functions that will help us to build our deep learning model. The main ones are `torch` and `torchvision`. They contain the majority of the functions that you need to get started with PyTorch. However, as this is a deep learning tutorial we will need `torch.nn`, `torch.nn.functional` and `torchvision.transforms` which all contain utility functions to build our model. We probably won't use all the modules listed below but they are the typical modules you will be importing when starting your deep learning projects.  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FuhJIaeXO2W9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "## The usual imports\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "import torchvision\n",
        "import torchvision.transforms as transforms\n",
        "\n",
        "## for printing image\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wSTcn13qS7EC",
        "colab_type": "text"
      },
      "source": [
        "Below we check for the PyTorch version just to make sure that you are using the proper version. At the time of this tutorial, we are working with PyTorch 1.2."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4eVhGiUJO42I",
        "colab_type": "code",
        "outputId": "9616002f-6c67-4ea3-c84f-dff99d675371",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "## print out the pytorch version used\n",
        "print(torch.__version__)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1.4.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0a2C_nneO_wp",
        "colab_type": "text"
      },
      "source": [
        "## Loading the Data\n",
        "Let's get right into it! As with any machine learning project, you need to load your dataset. We are using the [MNIST dataset](http://yann.lecun.com/exdb/mnist/), which is the Hello World of datasets in the machine learning world. \n",
        "\n",
        "The data consists of number images that are of size `28 X 28`. We will discuss the images shortly, but our plan is to load data into batches of size `32`, similar to the figure below.\n",
        "\n",
        "\n",
        "![alt text](https://drive.google.com/uc?export=view&id=19AC_WpscyXkrK_o4PaFFGpt_jG0aJm_f)\n",
        "\n",
        "\n",
        "Here are the complete steps we are performing when importing our data:\n",
        "- We will import and tranform the data into tensors using the `transforms` module\n",
        "- We will use `DataLoader` to build convenient data loaders, which makes it easy to efficiently feed data in batches to deep learning models. We will get to the topic of batches in a bit but for now just think of them as subsets of your data. \n",
        "- As hinted above, we will also create batches of the data by setting the `batch` parameter inside the data loader. Notice we use batches of `32` in this tutorial but you can change it to `64` if you like. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_DQKJhWGVSnA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%%capture\n",
        "## parameter denoting the batch size\n",
        "BATCH_SIZE = 32\n",
        "\n",
        "## transformations\n",
        "transform = transforms.Compose(\n",
        "    [transforms.ToTensor()])\n",
        "\n",
        "## download and load training dataset\n",
        "trainset = torchvision.datasets.MNIST(root='./data', train=True,\n",
        "                                        download=True, transform=transform)\n",
        "trainloader = torch.utils.data.DataLoader(trainset, batch_size=BATCH_SIZE,\n",
        "                                          shuffle=True, num_workers=2)\n",
        "\n",
        "## download and load testing dataset\n",
        "testset = torchvision.datasets.MNIST(root='./data', train=False,\n",
        "                                       download=True, transform=transform)\n",
        "testloader = torch.utils.data.DataLoader(testset, batch_size=BATCH_SIZE,\n",
        "                                         shuffle=False, num_workers=2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r26nONGt5EoQ",
        "colab_type": "text"
      },
      "source": [
        "Let's inspect what the trainset and testset objects contain. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nWmZhRJ8fRx4",
        "colab_type": "code",
        "outputId": "053248bf-df78-4aff-8862-bbfef7a9e8f4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        }
      },
      "source": [
        "## print the trainset and testset\n",
        "print(trainset)\n",
        "print(testset)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Dataset MNIST\n",
            "    Number of datapoints: 60000\n",
            "    Root location: ./data\n",
            "    Split: Train\n",
            "    StandardTransform\n",
            "Transform: Compose(\n",
            "               ToTensor()\n",
            "           )\n",
            "Dataset MNIST\n",
            "    Number of datapoints: 10000\n",
            "    Root location: ./data\n",
            "    Split: Test\n",
            "    StandardTransform\n",
            "Transform: Compose(\n",
            "               ToTensor()\n",
            "           )\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zM19_49wbkfr",
        "colab_type": "text"
      },
      "source": [
        "This is a beginner's tutorial so I will break down things a bit here:\n",
        "- `BATCH_SIZE` is a parameter that denotes the batch size we will use for our model\n",
        "- `transform` holds code for whatever transformations you will apply to your data. I will show you an example below to demonstrate exactly what it does to shed more light into its use\n",
        "- `trainset` and `testset` contain the actual dataset object. Notice I use `train=True` to specify that this corresponds to the training dataset, and I use `train=False` to specify that this is the remainder of the dataset which we call the testset. From the portion I printed above you can see that the split of the data was 85% (60000) / 15% (10000), corresponding to the portions of samples for training set and testing set, respectively. \n",
        "- `trainloader` is what holds the data loader object which takes care of shuffling the data and constructing the batches.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_vWk66EEgjHW",
        "colab_type": "text"
      },
      "source": [
        "Now let's look at that `transforms.Compose(...)` function and see what it does. We will use a randomized image to demonstrate its use. Let's generate an image. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RjGeZC4vj6VT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "image = transforms.ToPILImage(mode='L')(torch.randn(1, 96, 96))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eKpof5dPj-SA",
        "colab_type": "text"
      },
      "source": [
        "And let's render it:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zQzB0tXIjhRG",
        "colab_type": "code",
        "outputId": "a4bbe9ce-f489-40c0-91ed-cffc467dad42",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        }
      },
      "source": [
        "plt.imshow(image)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f2ff27d6588>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TT2/PYgVgD6B0NcbuxazdWabzU/uwOhaFFUHYNLSSIktWg/6sZvN109TOB8hn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yc41zdJ7pgjKggoRzyQv8ZyPMHl7iRjM0P6kjQVOuEkAXso90L7bHpjffYyHEVS0PG8Xk/SE/D9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nTXGTaiMn/xuVM0XlcsPdSkedeIVa/Cpc44dcfjvz/4FAD/7Mn30jmvU19NSSsOqQ2BMhhk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\ngg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tsszgyIChv71",
        "colab_type": "text"
      },
      "source": [
        "Okay, we have our image sample. And now let's apply some dummy transformation to it. We are going to rotate the image by `45` degrees. The transformation below takes care of that:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "afjxe4WVgtNR",
        "colab_type": "code",
        "outputId": "fc2b9a36-513f-4c48-a0ee-8f325167afd9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        }
      },
      "source": [
        "## dummy transformation\n",
        "dummy_transform = transforms.Compose(\n",
        "    [transforms.RandomRotation(45, fill=(0,))])\n",
        "\n",
        "dummy_result = dummy_transform(image)\n",
        "\n",
        "plt.imshow(dummy_result)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f2ff22f5b00>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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YK5xu3vpLLFmO6qRGYpVjioWQpt2nqoZgGYwFpuXyp5dPMR46WHu5vDhUPmMn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rbJXZUVntlYREUG0UzJRktQTiacPnQTgOu9Jje6E7z9wCXu8lb4ZHIPU5cL7EGBuzoAIYhfDig8\nG5nmGGnJ2ltc3vz+l3hy9SDRlTbWKKN3HPKliG7pYcQTRC1JaWuKajytkJlAGRb2YoO8WvDVzgk2\nxzW6nQCxZ7P0lQJ3a8TmQzWGh7WN15cpUWZSXdH5eOFbI969fJHVsMFOWOE97TXe4l9kN6tyOThG\n3DIZ/fCAnz76PIWSlAhe3JpHfHECr4B8UUuH3/mmV/jFqa/yq1c+zFa4gDIl9qBCPGHy0JvO89/M\nPsZPXv0VFj/foXP3BI+J2xBjk6nnwBkU5J5NYdnkvmI0b5C0C5r2mLIiuHzHAuMFm3gho1KLGR4y\nWX90AnuomP+apsAOFy2itiC6WwNDv/niCfzPSXJfMjikFXivB2hOzvX4G0vP8mnrbtbXFigtRXV2\nSMOLOXNtiWcGR6jMjLnrJ15lI6zzey88jBqbBGMdhrrU7PLDwQV+a/Aujnxqk/BIi92/E7Lc2kPu\nH85fXZvjpecO421Jpl/NWA+/96H9/9+dvVEjPtgimrLI/dfBCgqZvw4xFPjbwPYehpRAoM0XcYYa\nhSgDqkFELzQxUv334/2GHZWUwEoZAiqKEULoMZshkfG+EWQQIcIYUdZRQYEwNApJGCXVIMGxcrbX\nfZ3kmRqMlY0hStIaJCNJdTXH7iXkvkVa1+Xnpd4kO/2A+X6B2YvIxlVupG0sUXCsvs2NUZO9ToBI\nBUZUIMcJRlxjnNpQCop9EETNjKnIlKKQyERSegWqmVOtxgRWQl4aOFZOXhj0M49ryRQq2wcZCCDL\nEUWJ3bMoQ4PCM8k9g8JVNO0xVS8hblUpXIOsXlKvRiS2B0qLgvD2gQ1jC5lqqEJpCjAV3dgnzCxU\nKZClrqREnIPYR3MBO2mVvDCQvs7Oq1Vi5pwe2X4EUMMMbz0HyoDS0IfNTBn0c49+5jEau7RGr+v6\ntbOnaY9ZMgs8c59vnu+Pu0qFI3N8kVM6JUXV0dyzXGIkAntcYA1znf9mChKlx6ci1yNQz8goXc2B\nF3aBbeaMbUXugywEWU0LtNKq1jnUa2NuCzZ4qr5MPOGSu4Ksph1tRqKBFJZRMGP2cYwcmeifFUc2\nQ6EoYwOZSJLYYjcOGCaO1nPkWkFpRorVfp2vRktkfQeR97TYbF+5WLMjLKGPiHI/uLOw5Rv3zL7z\n1jniH+0x6vm4l3SHMmxLoqZksAzFbEzuucyNDxNN2vSP6BFy61UXc73EDBXdbgVjYGCGkEzAzAdv\ncrS2w5zTwzcSfmdugXJhkqzh0jtsYyTQer6L3O6iGlWKmQlyH11aj028dRMloX8UgmqMmE7oVUwE\n8IvP/wxKCfKjEfGcRbAB5uoeOx9YZPDWCDYklT+cYqZf4q71Ic2Y/KbF/77yXoqTYz5y6gwv7Cww\n+WUHr5Mjc0U8XyNtlLT9MZ25gO37PKLZnFm7hyFKwq6HvyUxH+zzD08+xovjRb6yegzPzviRhZcJ\njJjfOfso37x+O1YOe7eD07FpqSZGmGOOUmSh2HyowvBUiuHGfOnGSaLYongTKCk5enKVk41NHnv2\nAbwrewwOzvDI8SusDCeIn5jB38lZe4uJPDTGM0rWBzWNVXYK8rqke8zGnp5gPK+wJhLi2OKrl44h\nBMTvHWNZBXdO7NDNfK6Pmqx165RKcMzbZCOu7zfywP5Knc9+622kVd3EssaCNNCaAJGDGUouDSc5\nU61zcWOK2Qs5di/DXtnFatb4+qWjSKGYO7bDjb8XAGMcoUgzHyMqMYcJynApDEH1eoTZDSnsSXyZ\nYuy/pIQCaSp8O6Nr6q8NlxTVH9qmYqUkYQWjkNw3fZO2OeT+pRs8/YOHEELhBwl5biBequJtK4a3\nORy2dtgcVln42khDUHYCkokKHMxxDoxQL9eI//0cyTGb5R9ZZRC7uF+boPrKNsnVJv+2/WFmJOw9\nMktSlySrJq8MHd516jz3167hLWdcak+yPqixdqBKeuYNaoSJpgQ/ufwCj2+eYPf8nA5S8PdFJ62M\nyfaQ7oRDMmGR1CRFVXchS0uCoYX/KtVvQ9AxPx+Zf5pH/etcyups5g0Kr6QIbOKmSTgrMCPAlKg8\np7RNsqqW4wKITGqIpIQ4NEldE8MskLWSLLTIVyqUriJYGJC5OaXloZKUtCG4b2mFZwZHaJwfI/v7\nu5aUBBsZZmyyOe3iGwlJZjK5mmB1IuKZClnVoHQUtizwKzGjKRuzkVKTutFHKjEj8OyMh90bbGV1\nRqE2sBxytpkx+8Qjm/pNDWxMWgWi1CNJyxDItECUirilWF7apjP2GQw8lBKISS18OVjdY97pai1O\nfwQKjla2GWQuvW6Bux6izCrTjSHD2GEcOiAU0igRdqENIYag8As8OycObdTARlUzTi+uM2FHODIn\nKS2GiUM8ctir+PQKn6iwbqUDVddzjKhkPGMRTet039wXuum0j9TqJj6X0hmyoa1daIMYNQ6Rjo3q\nBlzoTbFQ7fHg5HWujVtc6bRJDF0tilwvXmUIjFGCWt3E6bVJlElcWohC6OpSKBwzB0NXOUU95z9f\n+jaT5oC/6N3BdlJlxhlgiJIDfpe9+QolOga9G3sM8yrOQBHlBlWZkRUG5kYX0ozKnIfMDMaHFO3q\nmP6ghvONV6k5d9Jyx1iyIBtUKW+s4Wzv4Vgm2akltu/xKFzt5c+EhSUL5q0OI8/V+X1GwaXUBPM/\nIanmr/MSpWaK7QwrNC8WKAFr71T6HNPa5Wj1/2LuzYMsO88yz9939nPuufu9uW+VWbuqSqtlrZZs\nSxa2jA3YBgzGMO4OGOgJmIAOpoeJmemOgemhh2YZiGYZFhuYtllssI03oR3tW0kqqfY9K/fMu997\n9vPNH19K6uiwezqiJ9qciIqKrLh1b2bGec/3fe/7PL9nk79erqKHEm8rQ76qElrf4m/1F2BitsVw\nzKI/5VAujxgz+qxnNj9/4gcZXCxT2NToLuiEDYU6RpecXvARWRE90BApZN7uL0hT2zY9hMZzBkZU\nILWVCMMcSexOTlDX2bJ8NDelddAgqO1luJgwZvepTPZYeV8NPSy/HcNkd3LMQKIPNc4OJ7CMjPV3\nO2iJw2A+Q/oZTjFipV/GsxJK+7aY8rs0jR7D3EZIhc0aPjbGg8/+IqkrSaoZacHgC+u34psRZIKw\nDpmtUkQTP2f7mAaaRlx1wc6pNlsUzJie7iBzoVJL2wY58Dj7eK04jTEEyj7mUPL5MzcThybVcZ3E\nK6KHguUrDRUxZeToZk6hEDJCbcNFDu6aTtorkTdSGvNtKm7AnsIOnh4zyiyCzGJjpUr5hMn6oTqD\naYeKFTBcSojqBs6WgTmQ9JYk7lKXgh0zUegTZgaXt2skI4u1Z6f4g51paqHi5EvdIb2rSm6AswXr\ngwm29vkY0zlrwxK97QJmTzU4qXt09lpEVYHUShS7Q4rLEV/683tAwsRyjpblrM7p7C1tMb6/z2DR\nZqGww1H7Go7IuKN4nh3P55XePM9sL+IaCeNej4oZcMBbZyWq8rVgHP9KwNqmx8vRNEu1HU7900W0\nTBBXcnIn4/qDV3lP/Ry/fbhB9f1HGY7rvHh6DyLUWUpj9HqVeO8kwbiNHkkab0SEdZPt6wXSzpmy\nO8waHf6odTfHTy2g93XcTcUo+E7Xd73YE6kTDG38Cz0y36YyHfKxPa8yY7Wo6QO+VLgBPRKY/Ryr\nDdLUCJoWQUMnnkg4Vl8llxrphKYKThvRynzCExXmnkreXiWimsSuBVSLI35g9lVmzRZf2b6Bc+0m\n/ZFN1LdBqPw4PYLGy224tIJWqyB9DzEMkK0O3uIM7cNlUk0ynEsZTQua0x3q5pCl2javHPWQiQa5\ngExQOWFg91K0GNaCEpaRsr0vRuiS2/ZdZLGwzdNbi6zslJmq9bhr7AKTVoeKFhDKXSJMJpl4NsB4\n5Szpuw5w+YMOqYST6xMYRg65ICntPrDk7sNrKsbzIn5s8Tj7nTVeHu7h0rCOruWKQR9puBsq0nhg\neWz4NvWRRHo2RijJLvrKUFJT1Bk9AnvdIPEleSlFmjmOlSjjyC4XzW5J3C1olTRuaK5QMUdM2210\nJBuyRJBZmNsG9TcjoooKWSgaIeMzbbpVl5FVwOwJnMU+n9r7IgecNe5zt9nKUn7Z+x5e357C+loV\n/4svIW8/ytodKuElmQuRmaB83KZ0SbJZ9uiNOfRGDnrHwBgKUkeQG2p3F46nODs6vu9hrXaZ+8Km\nat7qGtL3WPlAiXmnxYHKGjfYq5gCikIjQ6LZK/SlySPbB7lwrUmj0efA5AZzdov7C6e5aNX4ZnQn\n5moLqz3D2XCSfcVNrPeq0NEgVdFR3zd+nHc7l/nb+evZOTwJAtzLljLSpBJZLDCYc+ju0ahcyPFf\nW0WfrbN9vQdmTsPoM6FnXGrXKZ00sfqSwkbC1eAfaYOudDnji8/ciresgxwhkozhm1X+aOcuSFU0\nkLtsEDQyUkdjMKNW2beAiIVawKK7zVpc5ny/yeV+jb+7eB1JbJA0MpY/YJCVE9xKSMFMqXgBVXtE\nWQ/wtIhJp0tYMsiLGvm4YGtUYN2pkrZMkrqH3SohfY+sYKEnKVJK5eiqplSaAww9R9dyOgOXz758\nB0JTq57hJfiFkDTX4I0qdiumctblHAsKYikVNWaQ2uRScG2rin7eZXlRJ2oY5FIjQ+CIBKs5oj/v\noyUuVXGA4YStssOkThIroQpuhqzHGCs2/hUFpBwKGKQaL7QXuOLUefLyEumah9Qk6Mp7n5tvIZ41\n8kAVRPdwhcQVeBu7jT52Md5FBUhEU44umQn6gcNoYFPdkLg7Oa2DOsFMCprk4TcOIcwcvxRgaOpB\nlOUadlugxTnONnzx3A1ICfGWh4hUOILUYLhZ4M+4FU3L+VdC4lgJNzeu8e7xKzzdbFAZa7Cz4DC8\nLkJKYGCghWpFS22BVom4tXqZc5tNymdVsm5/Vn/753U2DEQqSRrvhJaIJMfYHkCe46yYfP7CzeS5\nIM81pqpdfmruCSyR8dWdG1gZlTm3OobYsYjKBgfdNTaSMj9+8tNstYtUY4j2NBEZPLx+8O0QDFtP\nmSp0sbSUr28f5S+TW1herVHQeRsfllnQn3cwmxZSgLcu0WNJNlFlMOsiF0dMV/t8c+sIj7cP0Nnx\n8QqoHZ2nqbyB73B9V4u9+MwlDlyoAWr10qKUub+PyHWBc6WFXN8iO7bE5s0ew2nJu+8+ScUMePTK\nPoKuw+3jq9ziXeTJ/CBr/SKtlQp7vpSjj1J2frHLr1/3V1S0gLKWcCUt8XD/OnSRM2F0KGkhh71V\nxqw+B5w1rrfWOZPU+WzpTk5tjTM8XsZslUiLNqlv4sQZZMpuWZ3ocdfURa4vLNM0evzcI59iz19n\ndPZaDO4ZUSsPuWfyPADfEndgXtuhcVXSeFSSNSu0j5YYjWn0j9pkaIjLLlNPJazlLsEBi0SqjnVB\nxNw6e4Wz/hgblRrBmKtikoZg9lT/QeoanZsy9kxts3ZmholH1onmqqx4NklR4w2mOGnkFJ/2aB4f\n0lt0aR3e7d6aoGlq+6vHEDRhc07gbgpqp1KkAf1ppWNPmzHNsR69oUM0sMkTnWHXQeuYVM9FWOt9\nVu6v8nN3P8Rvv/JeJr5iIXWDUdMhtSDxldGnupKjBwnlKwbySeV18HfHRcH4LgD0ioH5Rhm7nVM+\nN2SwUKHyS2f5dPU5Hpq9iWx2jPYhwc++6xGeaS/x2uP7sXq7Z/yCYKrR4ZPll/iz/FbGH9sgmShz\n/tMGdjlEP16keFl174eTKjE3KSgtQC1I0YYhtVM5g26F0kpG8fyAnRum+cJ/cyuekfDscwfx1jW8\nXO1Mw2mT93nn+Xc7dyM+22RxOaC/IGkdtNFiwfIbE+SFjEJzRMULODq2gq0l/NrT30PxlEnB3EVd\naepP5kDrkHqYV85KqmcCUt+kv6dAd0nj09c9z5jZ418/8WEKlwxsT40kpRAYI+0fsajGc4nrnvIK\nCzU6GI0rLJPVLaBtbJPZOklBvf61jSlcSy3rlh/TsAcUtZCqMaTkRHQKCaOmjRHqZHnE2XiCUW4x\nymwSqaSrzm6+eCx1ToxmON0d5zV7hqfdDhtRkVNb4wz6DoxpCKk6xQpQ6OFuVYhdgygxWA9L9NN9\nEQ3PYAAAIABJREFUaEisbR2rG2D1TZKeRQs4VZjAEBlxBQbHJtEDNYvPXAM9klh9WN5ScEaRQ1gz\nkJrkTG+MRGrc5F7G0yKWPAUTbHVVM08PFVZLS9VxQwqJvmNy2axjCxgebBD7GmYftEQjlha5KRGZ\nJCmaaCm4m2qUFtVUfruzA3Y3ZzSpkzViwtxiOK4eOLmFao4NDXbaPrJrYbW1t330eghB0yIpVDHL\nEU2jT7Pep7NXxUnZbbUTyE1FHAoaAqkXkUIluGQ2yhpsqIeYtyreMu2Rm4Ko7hCVBUU9xBGSbCZk\n82afpJzzXGdRSaSLqpFm57uCIi3HFGDbCVm1QOrpiFAjtkyMsmQgFDMwN0CLVUhibkDr+hLIEsNp\nJbO2uhraMMQMinRjlzg3sLoa9o5ES0HLJP2BhS6gaowImhoidxQJuaB2oIUVjdEUNPYMcYyEh7cO\nMkosnBUTbyNnOK0Rjqt7UuSqQWj2NbQIjDBHjzIyRyfXdbQEvrF6GM9M1D3XkwipTOx6wn8SXAHf\n7W78viardyqOmZZCWpBM3bTGmNfn1JcPMJ3P0p+1CCZyzJ6g/OdFckMQPhhzbH6Fm/wrLBoxoXuZ\n9liBS36dZx9cJA0N9JHNv339PrKrBfyrgsF8zj13vcGc2yKRBok0+PLr11N61WYrkFwaSDJToBUE\nng/Dd4/waz22WyWyrkXhisUYu7rvHY1XwjmMCw7OtmDyXIK+3qZo6wSnPFLX5NRVlWpqX9/DuKfH\ntZ0K6ZqHvaUxdjzB7gKPu7SKHlQl67crjcGl49NcHG9w57vOccxe4VOVF9Aq8L/yIf5huJ+8o244\nLVZoLS2VTD4LUlhsXy+JfrrFxnKV6YcUiy4q62SWRlwSbN1oUbyaM/3QNr1DVeLPtPDMhPDEBOWT\nHbZurHHf4dMsz1e4ONcgCUysNRM9EPgXdfTIxV/N8C91yQoWwbhNVNJYu1ui12Pu33uGij7kl/Z9\nHfbBb125D/51E7MVEhfLxCVJcPuQAzMrvPjmInNfVVFYNz14kmm3wyO/czvjX7/E4OY5do4YhA3B\nzjEdWYuZt7bRgP/r9s+zfHOdPzh/Fye+dpCoKpm/YRUpBWsvTuJsqzipTMJCtc3Vdy+ipRL/siB1\ndZxbd7hj8jKL7hYHnFU+t34nrz+6n9SF77n3FW4vqR1ZJgX/0v0YzafUNro1VFv+4mVJ5dwIY3uA\n6A3oLSyRSLijcI6vf/g6dvoFktggTwXVp23GH11n5cOT/MSDz3AqmOKbn7uDyoWU+dUuentI75NT\nfOTOlxmmNhf7dda7RczHy/irGd56hNYL0AomuSHwV3L0320QZzBuZCoddqApLUCiUGbfPoRNXd/V\nYk9djaScIzLQQ5WzXrJDxuwBr5Uk4ZinOqfFhDwyldw1B93IaToDhrnNmcSlk3mMmT1Cx6RUHDE0\nVMMtD3UKm4LiSkZa0Lk6rKrwhN1Dv75t4a9mGKHEGGVkjkYgDaQhcN2Y+WKbJNNpAUlR0VcyS+1C\npARzoIASQkLWKJMWVOSRIUDbEWSWwFjIuK6yRpZrXI0MktgmKWjqMwMQUhKMg94MSbsWzppBWDBV\n2AIaO7kKoIhzA2G8k78tJLs+53zX2qg0uBUnYNMuIzXtbXKJ1CEuQVzLcbYEojvACMqYVkzdGXLZ\nFeSuSeZIppyO0qXXLLb7BbIVEz1W8mQjAGOUIeIUTRcYQ4PUEUg3o1oeUjRCMqlR1wdM6SPG3T6b\nWQMt2m2yaOA6CXsKO7xoLaifP9M57K9xwFnjEe125HCEkJLMUn0NWY8pltUYsp9rVLQRuqWinNJQ\nHT+yXZ96bip57ygxeS2eIEoN4gpK5LIrumoWhtxSvMRBa40DZsTjXosTqTrXH/DWeZdzla3MpZ+7\nSDtHuhaZqeKh81zDTqUaZ6YZMsvRUljJfGKpc6i6wZbrszHyGUWW8qOjVtxO5tFJXKyexGrHaIMI\nohipw5KzRTdzaccuHctRDc989xxvGkhdMQbJwBhmaJkk9XSyXRBr6gh0TSKyd/os3+76rha71BS3\n2xhqlM+pbczyuUWu2JBN51z9oZx6Y5sPjl8lyEyu3lTFEDmfalxkxmrxa2/cj3i9SHZkwOfe9SeY\nIuMvV27F2tYpbQu18sWS1Bb413Lan59h257lmYkjSAOmns/w39iif3SM1bttcv0teq0k2SzwXH8P\nfilgttnmyrbq1qceHN2/zKK/zZejG0h8k637M/bPdGj1cvpXdeyWzvgLCWYvYdms8s3wEFmiIyOd\ntJGw8f0peaphXFPb8sbRDf7pwtP83oX3EJ9pkHo6rdTn1XCeX/3GR6ieEgwnBYxnu7ppdeMWlodo\no5jN2+sM5gR2C7p/OEuprrF2bwZ+xtzkFrNenz2FHWasNr9e/ACNV6tktsbGdoWgbNJ734jW3RYz\n4xvsxD6unnCktsbz8RzuqzmF5RH9PQWiimDzJov4/XWMgcC/prbP1obJdlDjFWeWhtnnRH+aE5tT\ndNZKTDcESbGiMM+2ZHC5zF9dfTeVMzrOxRVSb5ydpIDpprQPS4yPHKY3rxFOJxjFhD1jLcpWwPHR\nPK+PZvnCa+/COW8TTmbU37dNf6vI8IsTigN/S4a5OGLrZJP/+ZFPK/feQqwUeAOV6zbu9XBEwtl4\nnNOxxreuHmT8JYUD/03rg/xG7f3IkYEWaTgdjfW7awRjUDJTklQnGNPQUp/4xiJJQRA2cn7h5A8y\n7vd5X+MMd5YHxNIgkTp/XbiJU0fH0Ps5f/inH0JqEF2X0zrqUD3p4l9TrIZzwRidxOVav0IQWUR7\ncsKGht3yMPvuLpte0F8QyE91cYyUlVcmcbcEwxsC3rf/LG+0Jtg43yB95DvX23ev2HfP6VKTiFTg\ndFKMUU55kCB1jQsLNrftu8is1+aYt0xBi2iO9dCRxOiMcptozWPxqZArfoHmbQElLUDv6zg7Am8z\nx+rnpI5ywVmDnMrpEdLQ6M97ZJagcLGHXN1A3jBG+JalM9QhB22kw0gn9yPGvT6XnTFyQxkdjpRW\nOeYt80htP8OgyD37z/GbMw/xF/0l/s3wAdLAwVkboa9t4x5bottwkUKdXY1Cwl2LF4gyg2fDveRd\ng8PVDb7Xv8Df+DeyGtXRI8Fgt8/QOC6of/M87fuX2Kzt5pnvru5aL0AMA+Jyg2gmprBqUntmle7N\nk+gfaHOovsnHmy+xz9xiSpdUdY8/m+6QloqqMRWYBK7JDbPXmHB6pFInyg1cPaZujtA1SWElQD93\nDWNyH4FpEI7l1Pa12N4qYvVstFSdtck1doYem3GJ061xehcrOF2NuCARuzFG0pRYOzpWF/zVDNnu\nYAwb9FKXUJrIWkxv3iEcU9COoh8wXehgaxmbUZF25OGdtpl4PmT5Ppt7bz/HV0dHqJ9Q0uDWXRaH\nx9c59cp+pp7ss3Wzj3EwQAgY6g5Cl/i7tJ7ttMRGUqLfKjB9rQ9CUD5bIao4WD0lV40qMJpS6C9d\ny0mFCliMS4LhtCBqZkhNsr1SZtQwqU0M2GetUxCJIuJMwyvFeR49cYjxryUkJZ2VjyXUqkMG3QZ6\npLDdrbhAJ3YZRhZ5LpDVhKigkZsGqauktyKFqJbxS/u+Tl0f8OPbnyFKXQ7NrvPz43/P3xWO8ifD\n2xHmdz64/9cPidDuQx9rIgoe3ZvG2Tmi9NpJKUMLNeqvqcJcfS8cvG6Z7VGBdregHED1LXwzUjpm\nqfHIS0eovaLRW4KpW9Zoj1ySl6uY/Xc+0xxIrIEkKgsGM+rfrJ6aGxeXM9zNiI1bPdK7uiSJTtJ2\nVKTRjhLccEuXH9x7nDODcU5sTqIJSa0wIss1rp0fw9rRmLx9ld/a9xeci8d4pHuYZ1cXqPxuEfdS\nm+WPjDE4FGNfMyldUEEC2m1tKm6IZ8YYWs7m0GcQ2ATbHu6yQW5BNKa05mZHRw9UTFFWVI0cNIne\n0xl7UTVxlr83587D53n2uYPMPZSxfdTke3/kKa7zVihoEaZIaep9KlrM72/fzZdevQnTS7hn8Tya\nyHn4zEHYsZk8uMnHZ1/hyZ19HD+1gLVpMPdQiNEOaN1YZTQpGOxJmV3coj1yGaz5oEFztk3ZCbm0\nUSdv2+h9DbujQgnDiRThZLjFEMvI6KwXsbYNKmeg/tXT0Kyx/JFx4rLE6qoJQ/dQxvyBdbJcI0hM\nolSn3yogAp36SxrVswE717m0r1eKSqurnGbTN61xuLrOo5f2kV4tkBUzvMaIMLAwLzpKm74Q41dH\njAY2+dDE2tKpnlG7v/YRSe7mVN4wKF1JGTV0RhMKVhpPxZAJCuctrK5kNCGIqxnGWMAts8qY1Esc\nosxgtVMiCi1Yt3G2lDkmrueIUsx9B07TtAb81Zkbya55ZJUUvzai6gXcUL+GraUMM5tO7PLSkwcZ\nezmnu6gzPBIihCSPFXrKKwc4VkKnq0xVzviQD+45yRc+9RBrb7b/cYRECF2HRpWoWUAKNfbpLUk+\neftz7CQFnuzcSGFVQ+oZvchha7lK5Q2DxPc4vtdDdzPsXVaa1CSDOdWBXX9uEi0RqtClSjdJPUlh\nRcPuqqy4o/eeVbTWVxawdzT6Mzph1WU4JdlT6dEJXLa7NkiwOuqcOpSCI+41Plx6lWMLOk+GFj/1\n3KfJt22cTQ1zBNuDAstphbo+4J81H6Np3cK3GndjtVxSFwwnxd6xaD5xjdGBMS7PFcnGNT5z3dPc\nYC/zA0/8DM1HLcy6YDit+O0TT2qKaf4DPT6y5wRPbuxlZbWGVYiZqXdoDT3avRp6pHH9vgv8dxOP\n8ObSBN09VYbzGT9afZ4ZAx4LmizHdYaGTUkLeaB8gu+991UckVDTQ07HTZ64eCPNVzPWxkoc3bfM\nX41uYuwpA7ufkVsa0USBuKQ6+Ng5nhnjlhKGbkjNHfFzM3/PhD7gw+d/lsknBbmhuuz9ecEHbjrB\nXm+T9ajMILN5Vi7Ql0XioqFItNfWmPn9TYRtEd6wwGjCRGqS6yrrXBzUubZehYGJf1l1nwubKSLJ\nKF9OsPoGvQWN2fuvsFjcoWiEOFrCDx14hWy/xtnBGG9uTJCPDArXwBzmWH2LxLModXfx4T5092ok\nxZzSYgfHSgjfGMfZCMhNj6SoI3KB1C2V/pLuGoJQx86xyoBfnPomL4fz/MqLH0JsW5TOa5R3cvzl\nAPPKFqsfXeCffeybHHWWGdcHKnJ80ePV8jSbHZ/Buo85nfFDteeZ3TUItTKTH5QHKZ3q0F2s86FD\nb/LM2gLe5yrosWT0Uwn/ZPFpfv0rH2Hp8x0uf7TKZ255mif+A4PRf3x9d7vxdY3e3hxzesik1cXT\nY8L5mNQzEblgZbWGFmpEVcX/QkCeCkYtD3IUznksxezoFK6pZkXYlG/PLUUmSHzoz+nE1ZxRahFl\nhmpoCRhOKwyvrCZ0Apco1dEKKbkGqacCG8ONAr924X48M6Fqj7jWr6BdcXC6u5FGg5yNsTK/6n2Q\nONMZ7AZWWEsag5ki6cERR2dWePPiXvKSR+LrCC/FMjJe6C9yPhyHrvLva7HAGKlR3HBSI7Oh4gWY\nWsZEoUc8rhMlBstbVZKRiZeos/vrl2b4xfDjdJfLVCSYbY1fuPhx5v0WN/pXqegjXh/NcTWoMkhs\n2pHHrN/mZ8YfA9R76HFONjQ5Gc7QCxwKuXwHc7Tbq0hKOZqVEWUqRXUUm4DHiXCWLaOLXQ1pHyoi\nEtATiCs5806LeWubptFX6bbmDINIIy5B/559ajbuKjFNrqu/3VWDr718/W4XUoKdMVhSGKmwZuK0\njF0RigqFGMQ2m6FPYJoYImeYWoSZEifN19psWAndfXXVBHYk0pBkniAuqqLVItB1QRCZaFpOd19O\nVC4iDUXx1VIVkSVSNUrUYxBSzbXX8jE+Hf4Eea7OVnklpXtYpxcL+vMFvL0e4Rj81bWb+JZ9GEtL\n0YTEM2IOVTeoOAEbfpHJYo83oxnOxSmngilWggrupoAohhwKRoRvxwRlDXMk2V6u8LvpezC7gqjp\nocfwv608yLXkr79jvX1Xi32wAB+86zizTovDzjUSadC90WU5qPLCK/soH7cIm5JgId7tLEtkpONe\nNTEH0DucsHdpnYsnpqmdigkbJqN3h9QrAzau1LBaigYa740x7ZRu5DAIbUSibqr6sS2+f/Y1nm4t\ncfLaJJqeUa8OiHyD0U5FneNO6qQvjTGMJVEkMTOYilO0ROKe3STf3Mbd3E/r/ATedsb86xuEexpk\n/2KVT8y8zFFnmWl9wIP7f5pwqkjQ0KjUBpSciIcv7CcJTAqrGlqqXHx2e/cBdSTG9iP2lFpoSN5d\nvcQ9tXP87dr1rL5axQrVjFhLofGYRTYao+moMUzxKrQuzLHSmMf9ZMIPV5/nty+9l/VTY9g7Chz5\n/N4pHvjEmzgiUbPpMMdoWzzR2seg7eH/B0c/qau5M5Mhjp0wiGyiVGc0dBjoGd+0rqNmj7hhegWm\n4exOk/ZqGX98wC3eRQ5abcqamtt/0bmJzlAQTGVs3hDgOep4luYaJ57bi39Z0Hw1pfDFNv2DNVbu\nA6Me8BOHn2evs86Xtm7mzPYY3XYBfcMi83LaQ5dRbOJaCbqQ7Aw8wpHFwuQOPzaj6C/Hx+foJi6r\ngzLD2CTJFFU32PSovGlghIJe10EI+PCdL/O+8im+1rqef7iySLTuMfa8wBrmmP0MLc3JDY3cEBjD\nFLOdM9hbJPh4wsz0Dt83/RrXu1d4rH+YV9qztNbG2Hl8km4IeiDJLcH4R6/yP+35O8LcJJQmV+Im\nD+8cYn1YYuXkOPa2xvipGDEYIXKoGUOm/C6vT09itwXN5wVaUiazJN1FC7MPb/7NQfot79vWGnwX\nil3mUmF2wxQtcugkLlE+xnJYI5EaW6FPP1EI56S4a7IYqRuFXJlCEEpppLkpTWfA+UJGUtSJfUHR\nD2h4Qzb06jsfKiCJDFbXqopj7kpyR+IYKaPcohV45G2LzMnQSiM0Id/OgzNGEnOkus6Jp6Elu/Pt\nOCedqCAaJYZTNklJEMU6Xs0nKeokmc5mUuKy1iA0TAwjZzBlEJcF4cBlFFokLQd9V/U0amgIKTFG\nu5bOgU4kbS73aqRSo6DHuHpCJ3DIdYkw1ZmYXKm/hFQiDz1SUUSJp/DYm2GRN6NpRpHahuamajBJ\nQ/Jsby+GliFyyBy1MvVjB83MGE5aWD1BeZChRzn6SBD3TUZDk9Fus1HoEilha1hglFjYRqpcW5kO\nEoLA4ivtm3jN3eYB/00m9IwoNRQMw5RM1ZTX+y3NeOblRFWdYKRjDosENQ38iIKrmmqJNIgz9bvV\nzJy0rHoYo22PkSkxxrv4ToCmSaQUhKnBalwlkgY7UYFRqjQdpp7T63ukPUvtHGtqBUdCEhtcHdY4\nbs6zE3kKeKqpnYpId8VPutj10PO2PDX2NXQjxzZSNJGTSY0gMxnENunIoNhWQZAih3QXPOGIhD4O\nW2mJfuZgiBxNqPcVOaQFnXyiTm7C2eE4vdghbGakrobdEhiBeDvEU48khXX5tpT8213flRRXrVhE\nOA6tDyyx8Z4Mc8eg8br6PnrzmjJbLAUsTWxx5uw0jReUekhPVCOldUySN2OOzK9yf+MUX1k/xuUX\nZ0hLGQ++6zUm7C6ffeM2xLKr4nQNibumM/FCpKyun+py6+QV3mhNstMrkF/0qb8uGU5qiLvbSmn3\nlTKV8yFJySD2dTp7NYx3telv+cx9WWAEGRc/rnPgwAqGlmOInK2gwNpmRdluh4ay4NYSLC/GNDMc\nM2Vnx8d/zdl9iCghzfaNUNzbYXC6yvST6e7WVs30+/MacUm+PTPPHEleTNGdjPF6F11Irp0Zw13T\n8TYk/mpKZ9FEfM8OJSdio1tUqTS7V9EPmK+0WemX6b6hRmhKbQfdAzmVPW1KTsRUoctr61OM/d8e\n7pUOgwNVgpqO3c2x2ymDGYutW3KkJRGJ8jG8hTLW4rfCMwXF5ZykIKj/8DI/Ov0cv3z8QeyXCwwO\nxfwPt3+D08EkX33iFsy+RrIYUKsO3/5eK27AgdImOYLVUZl+YnPxwjjWpkEyF3HL0hWOX51l/Eu2\nUud9qs2H5k7y4s48V1tV8lyQZRpZpKPvmCAF2syIcjEgfLzB7Dd22LizxtKnz6IJyfOnF9G6Bs6W\nhtWHwazEXOoTrvjMPJojdcG1B3JqU11amyX0lklWyNArMZaVMl7u4xoJjq668S+fW8A7Z+G0JOVL\nCbkh6M8YxBXB/Icu8c9nv8VXOzfw6LX91Aoj3tM8Ty91+PLp68lbFsZgF/XlSlI/R6vFfOzwcRpm\nn7PDCdqxyyuX5jCv2BQvw9gT6zx7+XN0441/HA06ABlGkGVYwxyja+DsCPwrqrGQOh5RLIgPZlxf\nXeGMNYnVF2+ztXIDskJOtTJk3OnjaZFa3ccSDEe9aJSpJ7jUQEsFxELluW0Nyc0ivj/g1uIlznTG\niUMTeyQwhxnGSDCKDaQUeLvUHHLQUok0Ya7S4WKqkxR8pA6lyT6fmHyZbubRzxy2vCK+GbPeLxKt\nVDEHEGQWUVlDqwWMV/u0ex52R8UXa5n6HnNDUCuM6BsVtEgFHlhdFQcVF211k+4my4QNSBoZrqe2\n+LaWsuzXST1tV/6pgIv7atsUjYirq3VExyQvppheoqin/hbbQQF3Q2D2JGlBkBYATRKnBo4x4Jby\nFVqRx8gugBAYgwxbF3jrEeZKi9wcQw9MMikxgl0fePpOwQsJ5hD8qyFpwWBz4LOdlshSFZ0M4GgJ\naa7jbCuOQH4g40BtE1dPcPUYX49omAO6mcupzjg7Qw9tqGOMBImA/f4mp9xxzIEJUtLPtbdz0JNE\nV8DPkY4WC8yB4u/FiYrgsruS/Owl7KNVZt22KvZMmXHcbWWpjosGSaIjpJpzZ6YK+txTaTEKbcJY\nQy8lTNW7mLqi5wBsjopEqYHeMnC339mtvW1SyWEQ26ykVVbCCoOhg6Grc5Oh5dhOzKigk5iS1Bfo\nIw1nXScwTJacTQ7aq0yZHVqpz7mdJiPTfodFkGXfse6+uwy6REEaw6bk0vd7iF3dtkh3FWoiw3BS\ngoZJVBXot7YZLw54oHGROWuH08Ekj7QOUTBiPnnjC7zSnuXxL96M3ZZo85CWc9xrOsXlnKAuOPOT\nZfRaxH8/+RoH7VU+Nn2cy/U6zzT3sDxRxxiA81KRXIet94cMvy/BfMRj8vEdoMJZe4G0kLP10RDT\nSikYGX9y5Q6CxCBODSwjpeREBKFJ41SOu5lw6aMm+5fWOHdqmq2vFKnvzsnDqkZvL6SljMJlnf4r\n0zRjSVI0gBT34g7SNgnvcBjtSai8ZtJ8eUh3n8fmuEFkqJva3K0csdvoGo0rxNf6sMSqFBhrFvaO\nIHMsMtukHRR4eDihsEmRyj9LfN5mp4WhyeXtGn/Wv5XB0ME8ZtDd09jtD0iclobsdHGv2jRerZN4\ngqj2DmQRTYlnMkcS1aFz2AI34wOTV7C1BMPKSF0wN03+1T98FL2nM34+V0aoQsiH66/x15s389jV\n/dQqAx6ceZMk1+mFNmFgkRczAlOyZ2qbj5RfobZvyO988l7kyIBWgc+27qD4hsXMmYSorDMa14jL\nII708J2Yds+js+VTNUAcXsIc5nz9K7eRmxInVWaa4RQMpw0lsrrsIQxYeZ/COXvHfS48tR83lRQy\nkEJnKCYIxgSNu9aoOAErV+uY2wZuR8Hc2wcF4pYWOx2fsS861E7FbMgp/pfZT2BMjrhxbpl25PH5\nMzcjBMzUOhQa27y5Mkm2beOtC8ZeHDGYc/g/yx9gst7lWG2VptUnSXVlFS8IksMzyBft71hv312U\ntNztmFcyxpe2GUUWab+K1XvnJaaVkviCYDLj/zj8dW62VyhqAg24Fte40q9yY32FH6s+Ry91yZ5q\nYp1fI/mRJfqNHGOkU7wSETRc3nvLm1znr/Iu9yJ1LeIO7xzXu1eom0Mes/Zz/uoY5RcUBfT6D1/i\nv518jJ969WdgZR3fNYnKRfrzOj9w9yvsd9f5/Ut3s7peRcYapALhpxTGE7JUx18OMVdaYExyc+0q\nl7uz1L9+Fpo1dm5pkBYExp4+C7UOO6/O0HzoEtl0g95eXwUV9voI0yTxG1TG+mhJFePsMl5pERHr\nZOk7TPq3ggFySzHSMgv6oU2S6VgdgbOjRmG5KfBXM0onW2RFh85Bn9hXHerMkaBBnmhEgUHUcgFI\np1OCXNlCzb4g1wX5MEBrdSldcklKFh3LhKIgEyp6WRqQezl6KebOhcs07AELzrZ6eBsZuaVce+6G\nidmXeKsBuaWjWQk3Odf48+w2xDWH7UwQTSk1WpSYpImO5qTgwN7SFjdaGhXtBBvHSpzrN3n1tUWc\nDZ2x4yHGP7yOt38RbqiROhrXTawx77X4cv8Ysq/O3dF4AS3OGX8hIXM1enMKchE2c3I/w2gZuJuC\noClZ2LdBL7Sxn6lRfqNDVnZIXR0jyNC7Ib1DZeLbdTQk5o6Bv7y7MwTiiZQ/P/w5vtw/xlf+9P2Y\nZ1doWrN46yYbdzkcO7TCS+15kmsFpA71qRWOFVe41K7Rx8bqSMzXL1LpT9M6VGG5b1JxAgpGRJap\nCOvcgtGYpShO3+H6rz9nNwy0/XuImwUGk4YabQQa65friFxgFFV4YX7B5y8u3UVuS/IltT3/Fw/9\nMNLJuO/oKe4sn6NsjPjg1EnKesCJeBJXj7n4cQertYTIwLukcsAvfZ+NFDmPP3OEx/Qj/Hbpveh2\nxnitR9Mdcn6nwWjFRwAr75NgZfihzx9uvIdoPGP9hw/jdCSVcyFa6vDkxl52agVmix3q7og3L0zj\nXTKJKzobdpE81mkdNLFmp/Cnu1znrfAXBYkwTWSWY/cyclOnHyhMU24KZK1MVjCRAqKKTnrvXqSA\n4mXI1mvooWRw916iko63Ighjm5lDHZacLR4XBzCGgtF0Tn5bH12oRNKgr/LRC5uKIecfarFpoNR3\nAAAgAElEQVSyVqK7p4k0IK5IpWDM1Dk7TwQ4Aq1n4K1oZC5kRwY4dkLQq2B1BVs32WS33ULmSuJq\npkZjZgISvPMW5auSwYwgbWYI4Gy7yRk5xpfXbkQb6NgtDbsLeqgy4EUOwYRNags2rjT4SfGjXLk4\nhr8tCHSLpzaX8MyYZnFA4gW0Bh5RYLIyqvA3wxrnwwkeW91HmBiMLe2QLwpWZZNx+0ZGTYPBrOr8\nHyutMGdt83xtgZVMYxg4iFTtGEdzKSKB4gU1WouPhNy7eJ7jm9N0/ApaKFh/ehpjBMVuQla0Wbvd\nY3AgwT9jM/1Igh5LVjfK9IoOmS0JxjR1tMmAVPC/r30PW5HPyr0GztG9uBsSu5+jD3RODya42K5R\nuKa0FSdmJhmlFg1/iL8/YtVskJvXIXXUaHbd5A1nikulGnHLwd6NF8vNd3IDv931n13sQggdeAlY\nkVJ+WAixB/gCUAdeBn5MShn/p97jrWLv76/QW9BJfAXz10MorCpr63A+Q5o5Y08Z1F/eYeWBBtMf\nucqpi1Mc+J0BIst4+GevY+c6j+8bO86Pl05yIvH4ZvcYnh7zbz7079nJfH7tbz7K2Ms5Kw/k/I93\nf43fPn0vY7/jYnYjctsgs3U2b55gbS7D2dSpX5N098HPfPQbNI0+//bMfZy/Mo43McBbCmg9NUH5\na+ep9WY4fVedNNf44PRJjrjX+OeXPkHlQs5oTKNTUkjszkFAwAemL3GTvUxeyMBWsUN2K1FnuKHB\nwLfRTEgaHknBUNqBsqC7T3Vk93w1xHz9Mt379rN+m47VFpQu5WixxpKzxT2FM/w696sm2+1dHr75\nD/n6cA+//PKD6C0TfzXB2RhhLOk8etMf8+XhAp9bup0404lTgyA2CS8WsboqLDLPBXZHo/FGwnDc\noHhPh0PlDb5x+UZEJohvHvDrN/8lFW1EUw/o5ybf6B/j7HCM42eOUD3RI/FKxHaGEJLtrRIMDOa+\nJSmc3yGaKhE0TYwgx96JSQsGnb0WqQv+eY3tC1NU+uw+CDSWK3XsUsTtc5cZs/s8ke9lKzBZ6xf5\n0tbNLPcrbF+sIU3JZ+5+iAcKJ/mM9mOsumOkniQvJ1QaA+4qnGXK6PNSfQ+akCzLKj3TwdrT47eu\n/xIvj/bw5fP34G7nTExu8u9mH+PPy7N8zr6da2fHmP9aH60zJKv7JCWL/PYu37rlD/j+2k8in9LR\nwxxr1SIsGUg3J/RyRCLQYoFIBI++dgi9mPDee1/H1WMe/tt34b+QYfZ1LvVq9Dd9Zi5lIGB1usjp\nROe2+cu8r3qaVxrzvLgwx+Z2ieILLu6WZBQ7RAUbO1UPFCkUuOP/LyPMzwGngNLu178K/IaU8gtC\niN8D/gnwu/+f76JppK4gLimhTObm6IGOt5GTWYLhLGAq11PummgRnF9voncMsqIyowg3wzcjHmod\n4Zs7RykYMRVzRCf2+IPt97A98rBbqlmkDXSe6uxl2HPIbA3KNv1ZdXPpERQv6ujhrpsuFpwdTbBp\nlIgSAyQUnJiFUou1+hjMTxPXPUSk0ep5POvs4YLbQG+Z6HGOHgqVfe7kZJUUYWdsRwW+NTyMCDQl\nqql5bN3gkPiASBn1bcyqZPuIq86tqYIs5qUEdMn6u1y8uYOkHrgbapzWuk4QVzKe7SxyIWwihipC\n2tBybKHRNHqUS0PaiUb7gI09ZhJ2Un766oe53K2xsVFGCNCsDJkJ1cSUqnuexyYig96cQVIUtDbq\nbA0K5IWM/hJMV/ok0uDNaIaToynSXMfVY0pGxGgip320xGAOGtU+UWLQDtWOqT+jkzo1jEDitFLi\nks7OUVc1vnaPmXZbPfgzR+WoA7hXLFLP5OlsEb8QIqWgVFIuuIudOt2BixZq5OQMModI6lSdgPV6\nhhZo2CsmvX6FX/EfVIaaK7PIloXZ0zD7gsDw+Y3y/Wz1fbzurp018DifpHQzD9tIkX5Kb6mAOXTf\nzn0fbWn87IUfJLpcJLcjclNDDwW5vhuwIVARZLYa6YlIIzMNgszE1WOChZh1LKLFiPlim+2yT1gp\nqFFaJaZWGvHaxjQvr86SxAZpZEBvt1wF2B2w+oJgXBKNpTirBt6ZTAWk/JcUuxBiBngQ+BXg54UQ\nAngf8CO7L/kc8C//s4pd1wnqGuFUopItrAxt06X6wgbSs2kdqSCclKhmMZopYPdy5DMFtETSX3BJ\nfMHkxAYHCxv88d+/l5mHMzZuNXngIy9wsj1B+KcTVK/FZI5yMvlXdZ7WDmN3NIK6kkfG9/cYL/Xp\nfmGa8W8tE8836O510QN4+MJ+bDslGKg7cK7U5sP11zizb4yNu+sq6rgvySOPC5cLXMyhfBmMQYZj\nCJI1nbCmMXVoncXiDsc3p3n50hzOhk4wXWTnOpMP/egzFPWQP3r+bsxlm3wpYPruDU6vTGCddEmK\nkvGpDlN+l/feepZZa4df+Nqn2Pf/DLj2/iI//4kv004L/N4/vBd7y8DdLRDXTDHRWTDaPDBzmq2x\nIhdn6nQCB/+JBtv/fgHH1Znc1ST0F9Tc3QhVsRdWwe5I+nOC3r0BaWBQfs5Fjx2qD7b41OKLqsii\nMb6yeoydh6fITNj7gYvcVr3E9bdc4NqBCjeUW9xWucSbgyke3TyoZM3vGRGaGd43iox/7Qr9Dy4y\n98MX6Sc2V1+axmkJKucj7EvbbN89TetITmFZY+7vuggp6e8tElY8evcN+f4Dr/PY6j52ztXRIoE1\nEKSZxnJY5bJbZ29xi2CvyfJrk8w+EkIO0eOTbAJ710P0XpvMt0l9C2kIskfHaWQSqzNCmhrLqxU+\nO3EHncSjbAXMTrVYfqAGqYawYpCC2rMW8o9rLHgxcckk8RQwRA/V5ETkMJqCdDJGjgzMtk6WCa72\nq1CEn7/979l37zoAGjkF41ae2HcMNLhh8SqHS+v87RfuZv5vNglnHbpLllIYGpCZguq5GLMTceGH\nCnz81hf54rO34r9yDW0Q/pcVO/CbwC8Cxd2v60BHSvlW2Mw1YPrb/UchxE8CPwng6D5ivKHoJ1JA\nAnm6O4/2XVLfIivklLyIxPLITbU6m0MlgQ2aigAiE4NzozFEKsh3MdCtWAUX6LtS2MTXSFyN3Hor\nSIC3AfpxZKizsgF52SctqCMEArJEJ0Ix5EWisR34rKdlsly553IDMk85uIy+QI8FuQX/L3NvHqTZ\ndZ73/c65+/32tZfpme7ZMQswCwgQIEEsBEERJCWZMiVSImVJdEV2FFq24iSOknI5sVyOUlEYy6Ij\nieIiKrIlmXS4ijtIECAWYsdgBpjpmZ6emZ7e++uvv/Xu9+SP04RUKS0V28Xo/jVV0z3T1d89y/u+\nz/P8wqZFVN4F95UVDXdE1RozDm3UtgMShtMmUUPhyxhLZAhbp5DUymOOldfYGBXpVlxyW7Ez9BBC\nUWmPOG6vo6RC9sbIpETDGJIrjYKWiW6IpRYMApfPDqcZ53qjKpsBB0odBp7DOa+Jkjr/zdlRiNwg\nHBpkro7gzndzzESuQzfzTEAq9MQkgQxwZMJqXGU1rNAZ+boxKME1EkpGSK4kUWIihaJp9nGMNmJs\nYISSrCSRRq479q5DWhAcLG6yFNRYjgTmcJdd77taxlqLSLddRJ5r2GKQYzoCKRVNS3ehnS25q/4D\nckE39ulnLttxgV7g6lSfsR7tmLvCLGN7BN0+qjKty4kox95J/yxmWgpEYHB50GaQOIximyyX1BrD\n3fdZkWYGIrUxV7YRrSpJSb8/qac/C5noSZMRCNK+hTmS2qwTCpY3qwwjm1PlJabNHktplYvRHlaD\n8use9jCzGGaONmJlGUaYYQ3/zK8vUz1iFUlObisOe+tQTFAFT+eM/ccudiHEu4ENpdTzQoj7/7qv\n/38/SqmPAR8DcKf3qmvvn9IRQusmThfcjiIuw8L7KyTV7HXjxO9ce4hsUdcgMtUZ85X717CNjKWX\npnn2iSbZ8ZDJ//Y6VljQ153EIHkwhdxAOAnSzBGAFIoYDzMEt5tT+rcOueXSewNc/lUPtWnir2hn\nmWFl5JlB7RWDwnrOxtY0v3mggblpU4whrsAdd8wz62/z5asnGG/5JEcSKIRMlfu8rXURKXK6aYFu\n4hOv+VQuSXrHM07+yBU2xiV+//k3ATC3d5OpQ31OlW9yyFmnOBPxlLefK6ttql8sINIC//v7H+In\n9r+Mu2FAt4+/3uITy/fgmzHu1Ii4bu3+nsE+V+F3//i99PZLWm9b5kCpw9nydRrGEN4Bl97QZnyu\nxuzXAswwA+EQVgXpO3d4+76LjDKHILN4fOEQ9Ud08MJ4QtNCk+0ivzt/D4OtAtaWRVLJmH5wjQl/\nwM9MfJ+6MeQjl97OxGMG37+vyIceeJx+4tJ4UeJvZcQlh8x2URLWH9xD/1COZyRsjEtMPp3gLQ3Y\nvKvG6C1N1IkBP3PkJb5YPsnWjSpmqEiKgsQXtCtDjrvL7Gw9wNGv9RGJHj2GkwUu3tHmSHGKJ149\nRPUlm9pOTlKySUoG3SO6HzI1KGJ2+yw9VOA97/keX1y8Ff8LZaxxDkJv5u665NxL+3G3JN66on8Q\n/st3fZ1Ze4urcYu1qMLXm3ehfBckGEFG1jLIzw4oehH9lxv4q4LapRzvcY0YM4caH5U+5pCUKvz2\n376f6yeafGPhKOYrRcwAKtu6fL1Y2MvFyiRyQnHtfVM4XZ2pL1LtYSBXeprQ9jBbAe8ozPO9I4d4\n4T0niT/5nzZ6ezPwY0KIdwIuumb/TaAqhDB3T/cZYPmvXfiWIphOsbsGxljzxL1OSlIwSacj6rUh\nR/11JqweuZuT2caudFCR2YI7WjewRMZ6bw/lxZz4dMqHJr/Hl7unWVxpIoSiOdHHsxI8M8Hadc4N\nI5sd1wUFRpTjLvUAWHlLgzcfWOApcYB83dc4oN0UGruv8NZCnMkCccXCHP6g46k4WVrhiLvKE4UD\nBCOHiXqfk/VVjhVWeV/pPKGCLw9P0E18jEDqUsTL+ODEU3xt5zaWX5wCBaWDESdLK0xZXUoyoGkN\nmC1uc9VoUL4aYAwjVreL3JyqIVMQpgZjbI6KFJ0Iz4mxzEx7p4G851F9bBEjmqX3ZpeRb1OSAS2z\nz/21SxwtrvMHq2+GXCFihTXMSDyTiUqPh8rnSTDIlOSFtRn8DQtlwnCvqc0jkWTY87C2LAo3BQPD\n4GR9laP+OnNmR79MOyblhTFbp3xskZEqibuT464HmCOb3JYMZkyCtiAvacruKLZprI0Ra5skpTrh\nTMKJ9hZn/Ou8VJ3herOGGehxYuag4Q2ACAzk9XXIM4TnYXsWYWCzk/iY2xalpRSRQeZInYhU0ik/\nypYgBdFExv/QeoZOUuBZ7zQy1UhlJbX82N2Q+BuK0o2EsGEzYfU4aG3uZhlKjZYyDZShE10zB/bV\nu0z4fZ7w62S2wBrmuNc6kKSoMELkGXaucMpFjDfPcGVfk2zVp3klR+7Kb1NH4GwZJLEg93KCkkIo\nE7GkdQ5GpDe31DXIXInjpDSlzUF/iycmcnbTx//jFrtS6leBXwXYPdn/G6XUB4QQnwHei+7I/xzw\nhb/u37L6gqnHJGtvynFP9OkHNp2RhQhzrOsO4wWXTzz5DgDkRM7W/THGmk3pml5oL2ztJVfa8yxT\nhff9Iv/g+ofI/BxRjRESun2fgZlxes8yx4prjHObKDf5rjrEYF+dcWSQ3draRQ7lPP7aEbxFm/ql\njFFb0p20kVZG97h2LUUnx9w5e53zm5MalysVn3j2HoSZo3ItE1290mJjNMF39x9i7swWVTlmwtoB\n4MuFnNSTCDMnR+LJmLSUYYwlF16Y47ycw2iFNGsD1m7WKV20qHYURr+LcgwQmmFWum+d127ZQ62x\nzbv3XmAlrPLI/EnMgUQeGDLb6LIwU6X/pjmG0wbDocdr+QQrw7e8rlk3Za493RMOmSUYTRrEZSik\nFk+NDvPlJX2SAvTfCcZIJ5yKTNC5L+O2uWVe2d5PYS0HDL5x/gRP1vYTHrRoWoNd0qq+LneyIrZM\n6e8zCJpFOnemVNsDRmOHJDQxnIw/vX6C/lqJSiXFytsELUWxOSLNJY8PjiCFIjgzBiWolEcUzIzF\n9QYfXvhZKpcMaNcZz5W58SMSKglFL+CptVncTYHTiQnbDv1ZXSZWriiMSCGDFMpF5Fjy2eE+nl3b\nh7+VYw1zbV0V4G3r9zX1JMM9Fs6O4l/+/vt0uTaVgpPRXFaQ5ewcLbLxQEKpvsMdjetUzDHG3YrN\nM0UuPjvHhD+JEWsDjRFmWDe2IFcUbwrmizM4PUnQ0GEZ3naG089pv6BVkGt3GphHBgRxgd7A1E3t\nk7FuUj6qN7RRz+M7YZlvrN5C/RXBZvCfsNj/iuefAH8shPgXwIvAJ/66bzCGIbVn1lh9sMVP7H+Z\nHEGmJF9dOkZ+sYm3mVN9YQMxDpn/5VneevxVHrGPkq1rJ89at4TKJcVIL/bGKxETz2R0Tnjs3Ltb\nT40sMsOkbo856d0EIEOw1izzQqsGOaR7IkwnhRUfb9GmdE1RvDoAVaIbSbAy0n0hmYR3HrnAhxrf\n44/8N/LZ4RlUz6Z0wUYmMNynyMop3rJBdSFnKy3y6i17OOBs0DL72CJDuRmZbSBNRaakXnB+hook\nlXmB01P0Z302JlxqlwSTj6wjkhSEIPVLCKkwZcaHDzzK2WNLJEjGucXXuRVn3cDbVPT3mjTcEZeb\nMTsHdac/DUwGiaS/WQQFVjmi6Ed6sVckmQvBhNLBDJnB5VGb7qU609+HzknBG972Gpe227hP1XA7\nMd23Ke5tXOacNYe7pefq0YLNuGHyUmuG/YUO8s95vXcyH0vkhC1FCPz8nU/wi7Vn+Fj3Tr65egvb\nQ5/+Sgm7Y5B6CiV90krObFknj8z329gy4665a5StkLtKVzCE4p9+8720n5E4vZS04rJzwOKXH/wK\nc/YWv375HayvVWl0FWY/JJ92GU8prIGg+UqE1Q01uLLgYkTwRO8wO9tFat0Uc5SQm/pqZw4iRJQw\nPFJjsNfEX1dMff4qGAabD+4jaJkUNrQ0djQt+KU7v0PL1NJtW2S8u/gKJZnzk8HP0duawAwk1sDA\nHuZUNh1EEOFv5GSOhksmZUAIxKbO+HMWtyCK2Tp5gGZpxHLdImi7xDMxn37jpwH4+6/+EpWrOWps\n8OJ4jtX1KgcvBxjBfya5rFLqUeDR3T9fBe78//L9ccNl8WemOXLgBvudDT59800svjalGVv7c0bT\ngrg8gRFBWktZD8rkWw6VxZTEk/STIkJB+XqKsxXRO+wznNG67OLzHnEZvDNdpkoDTQxVBk8PD/Ly\n9h6WNuo4Pf0ipgOLJJVQzAj8HKdrIpJM9xIaAQUvonu9hjGUfCk6xaP1QwxWS5Qvmpih1rVntkBN\nhdwxd4NLE21WDhSRbspnr52m6MScbS7hy5hae0D3bImjUxtYIsWXMbYfE8WS3LRQQmGNQG3qxNhk\nokxSMukct4hrin1Tq/gy5g9u3s2vdd7JgVaHX5x5DN+ICPcmJBWD/ZNbnCytcKneot9wyF2FdHY/\n9LGBEQnSwKBru3ibEnuUocYalJi5gvWszUqtTuWaxF8ZM5r0udavk+WCzVMGZuCRxxGfWTqDqMYs\n/riDshTKj5FWxuVOiyvbTYxQkBYNjBi+unWS5aGO4hY5/NGl2/lO9Qj90CGIbMKhjTEyUCas32mR\nW4qJAxucrt3kS1dOIl4tkRQUaiqkUAyZ2N+naQ1QptIhGsoA4aAM+OzSWQpWzMZCA2fbYLBf0T9Y\nQyZgdwV2X0Mgctdk61SBoC3I3JxvnTuO2THp7QeETdjQPaKJ5w28+Q3GbYPkjgEbQ4fB3gOvk4KN\nH6hJTG0++p0X70UaCgWYZsZ9c1c4VlgljC2imkZylW9kmMMM5Vooz6Y/Kxke/jOLmr1pUlgT5JbF\n1o/OkBQhPKQ59XnfonIFRoHDp4/dg2Ok/CCjQoaSxXETlCBsO39zFHSTzS7/48/+CXutDmURcXVh\nglt+r0fnTA33Z9aougGLx+pEkUnJTTT/bMWg9P2rICXVC2UQAtnpQ5rSf/tB7njHeZ588jhH/9VN\nxscnOfDwEj/ZfJZ+7jLOHb578xDhi3XcQDcDcxMyT2q56t4Rexs73FzdC0lKbgpOTq1SsiKefq5J\neVFhvGhixGUmNyKshetgWWSTNcbTHrfP3eD3575Kb1/Mdm7wkbWHeOpPbyMQ8LWTRdqVIffuWeCW\nQ6tUjTGuSKiYY5rlEZtKkNuWnpl2Fc6O7k0MZxz6c5J3vPdp7igu0smKDDOXhRf2cuDzAdfvnePa\nB7Vq8NSRG4xSmx+bPMcb/Stcn6jzrV4BIRWOkxBHFkZPYPUFMtPIEXdbYe+kmONUy3mlxN+cIKhb\n1C6NMS8tUWofYrVToVAImb3nBjmCK5en2H6+zZ471vjoPX/E1aTJV7u3cn1YZ/61GawdiTvSyGxz\nJHj+8hxkAmlr2633WInxsEgwq5l7ciyx+5p9dts9l7mltM5t/g0mzR6fW3ojR3/vGsm+Fut3FQja\nLq+1JjlWBAxFXNKpOXHJRBmw8eIEIofGAljjnMH7+vxfpz/FL8+/n+BPJnF3cmSckRUsBveP+fkT\nT/N7T97H9DcNggbsHFNk5YyjB1ewjYy11f24LwYM98If3PFJDBSdewu8GMzx8a+8jfJVNPXXMqgs\nhtift3XORpiTeg7fePBWXpydIYwtsumIbOTi3xwj4pTct0nKNsNbYt512ytEuUmUGzx9bT/ZBY/E\nExz6qXl+euIZHukd51KvjbNl0HxyneJsjW/vP4Z0U2o93acxA8HlXguVCwZ7DDLnbwgRZpg7PLpz\nC73EZZzayJHB4EiFYEJgK0Ga62tubu3Wl0Lv4tmeJiJOEZmCPAPLBNsit3WAYN6K6b5phqApuTmq\n8oh9nEQZpLlOdkldPbbIHLGLO9L9g2QvzBW3uVrbQzJRJjfghav7sNyUtJLTOyS0+GKoEMrGXPfB\nMkmLFqkryZVgqPTuXJcZdXtE6utRVbzus7TjkuSS7aq+0jpGSj9xkUIhpcIIwB7mjFsGUU0gE4GM\n9Pjm8bWDXCpMkGQGcW7sYpP0aV039BhoMygwCB3GbRtXZIxSh3xgIfyURmNM4Fj0TA8khFUd0xWX\nJalnY4Q2Xl13bscNg9QXjKYdfLmP4aSB48bYZkYvckkyqV9uA1Y6Ff7l8jsxRY4jU5QSeqFv6Xo3\nqgrissLy9Tw6MSxUYCCuS+xhjt0zyFxtWSbXGKqF7SbdyOeK18IzEpwtCXmOTHMNSxgKnr++j0uF\nNtaWiTmGuArhvhwjFjgd/blGNQhagqITcyOtUXUD1g7BeGgwbhX1lTlI+MrKCUQsGLd0o83ZEqSB\n4GqpgWVlFHMQJc2d+8jKj+AZCRLFZlQkK+aMpg2UMEkKJYxENzplqjCCFBmbGGOLUWgTBRZqbGKE\nINIcZZt0jxaI6oJyo0vDHnJ52GaxXycJrN1NTJDmBp2sSJIbepJUy+mfahGVJWKsUKHUTjxH//y+\nFWv0WMbrPom/6PmhLvbBjs+Tnz9F6+UE/3of/10S8xdXKOeSfuiwM/bIMn0NMY2cgh2zuS9i6e1l\n3C1F+5keIshIJyqkvkVaUGRK8P5bn2PPG7pcGO3hq8/dxtX+Xs0ls3Okk2HMjSj4EQdqHeY7LRq/\nXcC7tsP82SJ/t/UYl4+3WFuZxt1UHPnXEUnVJfsna/yj/d/iS53TvLQ5zfLlOtOyDUBY1dCFbuTz\nzfE+DlobHLBCDrobyIND4g2fyccFblfRPTzBM2198ogMokbO1LENTDOjuJpRvNRl87YW1bvX6ewU\nydY97K7E/mSdYVAlaJhkLtQ7GZlrkhYUp92bLKVVVudbONsGFycneU/5JRb7dcoXTYZzknedPU+Y\nW3z62lswA4OJO9b48P5vc268j2c7s6RK6lz1zKCzVkGMDXonFJgGXrXPbZOrdEOf+UvTGCMD4eYk\ntYzq93x2/rcptm4v0/jpJYaJTfUSlBcD1u7yGB5IKUyMuHvPNQBGqc3NYZXh+UncToIRKYorkqgs\nCFpg9QTqkTrbWZ1erBAptFdiVLVE5uqyyVwF/5yNjE0qRooyBEsnBL/1I5/mt248SPgb08hUcfMX\nEh44OM96UOYji2/naHWdv/dTnyLMbV4Lp5kftXn+iycxPtfEOWMQ3j8gny+y///WzqudYyVST2CN\nc8ZHWrTOxWy+sJ/MkwQNk6gqKDyww4nTayx0m2z0fezzPnu/3kMGCSKMMYou9k6d8Y6HuWnhdgSF\nlRwRJYSTVfwPrPKT069QMQJcEfPlGycInm7iGpoDn3k5i906n0lv16YamXHytuu4ZxKubDdxn2lo\no5hSBHWTtJ5worLKgt3C6eWv24f/oueHuthlCt6mwr/WI7u4gHl/g7o7YjssMBpqlLDjJVhWim8l\nVOyQQiVkPGEBkrRoYwihF7qvu769xGPa6XGHd5Uot5ChxBpqMkLuSJSdUyqENP0xB4tbbAVFzLEL\n2z3yuEKGoOoELDeUVj+NYwzbxLMjDlubVK0xclf6GJV0qkzYFMQlhRSK9aSCQU5Gh0HuUi6EbLoO\n9lBgbwYYezX32xqBNVAoU+JZCXG2m76T5aS+4nhtnQtKsN5zUIbAGmZYg0Tnv3kSI8xRu82vUBns\nZAWMQGKOYZA4jHOTcWRjjRUyEkiRYwjdfZcJJLkkV5KSETJd6CFRVK0xQW7zaOAQ4GIVYop+RKMw\npu0MCFMLI5BYI0FsaJOFPVDIG6t4c0WCVMc7yfwHefuAnVN0I6bdHcaZTSfyCRJLC03iHCPQvPi4\nqDcumQjMzd0UF6WlpZkriSdKpAU9epWpwt5JMMYxUdMj9SXKymnIEUUrIjAEOVAtjzlZWGF5XGVt\np0TV0a1pV8ZMWTv0HA8zAHc9wIhLSCslMDQv7weI7R+cjEqCjBVGmIIwNaAkEzSLI7fMGpAAACAA\nSURBVM6UlwhTizSThLavBTlKkRddsqKj0dnWroBI6Btl0i4S1g0adoQv493P0WY4dilsK5KCjv7K\nPZ1Wk+YSz0ywZUbLHbLf2yLMLOathhaDWbs/o5PRsEYYZrYLUfkbQnGVKXgdLV4wGnUq1xIufe0w\nZgCtjZy4LODhEbdP3OT20jUOO2sstCe4NDvJ05tzrKhJ7J7+8IUCcwjff+0Az/n7+GLpJFFikRcy\nQkvz0M2xQE2lnG0v4/wg/QLIPAPbdbCvO/zq5b+Nb8WcefM813p15vc2EQpK/TL/+Op7WXxqH+3n\ncxpVyWiPIGzlvPmuC+z3O9wI6nxv+yCXOy2GGwXcesgDc5c5Z2QkhTa2Z9K5PeOtZ1/l0SdPsv+L\nManv8vDEBRJl8O9mH8IM6hgHhvzSxLf5hHEvX12qETdybjxsIhKLwrLA7ityQ1+TzZHgX9z4UQax\no+fIFlzv1fls6Q3sbBWZGCucHcnnb54iiC1q5wXlaxHhtRa/UXo/40lBsD+m1hzwj49+i4KMuNxv\ncVMJJqt95krb7HF3uLOwwNPGIV4LD2B3we7+GYpmfNdBhnsMwn4RIRTJrYLeAY/MV8ieSTYhOeHd\n5PObZ1n43GH89ZzijQBjEJLbPoktGcwK7nnbOW6Oqtx4fB9GAOrOPmemlrkxqLG0UyLZsKi/rJV9\nvQMuuenSPwTJhC6dfvq7v6jR2O9WCCfnvsYag8xlfq2F8VqRq98v8T9vHSBzYTALSKj0FGHbw91U\nhE/XEGXF5f/KwnJT5po3yRF0/3iGiefXWHrPHg79rRu4RopjpJTMkB+vvcCkMeSLy7cyvFijtKZQ\nUhLuq7Byr0XcyDhz/Apnq0s82TnAlfUmOClJYUyvX2T0pf18cjjH9hsTjsyuoRYL1OZjBjM2w8MZ\nbj3k4X2vcsJfZj2psJ0WWI/KfK9zkFwJDt23SD9yWXthEm9d0G72eXf5ZT7nn8LbshDJX54b/0Nd\n7CLTmCVlCKTvYndjqpclZqBwOhHBpEtk5Mx6HY67y5yyA+bMHrc4Kzgy5Y+nW6QFbWCQiTayWFsW\nuWnSdR2UocDOUW4GQ4mMBRiKGbcLwDi3tQfcEGAa2H24uVZj/54t3tZ4jWuFJt9UQjvBYourGw0q\nC1B+5ibGqWl6R0xEO+JD7e9xyOrz6/GDXB63GK2UKF8xGBySTBzpM1kosmy2UZbEnxjxs60n+Xb5\nFqztMTJ2OeBsIMmJK9rO2q4Muc02mLD7oATKyilMj8hzQTyqYES6A5xbOu5pYatBmhqv5/GNQpur\noyYiMDB25aObO0XSyGRPJ8dZG+FejxFJSv/MFGsFi77r0TL6tI0hFTtg3SpSc8bs87bZZ3eYs7a5\nYg119zlSr3eilYTRhCa7xpGJYeSkrYS0JpBDTbjJckFVjhmmDrWLCf6NvlYq7T7K0Em1P9l8lleK\nM/xOeQbTEDy07wq/0n6El6JpXhzP8iXnJOqV6q7tV5B5kO4JOTC9xeLNFu5lh7ies/e2VVrekLo1\nopd5JAMHfxsqiymFp64gyiWcN06R+AIzUvqqHiiMFY3FesfxV9nvbWplXlbgN+z3kW9tEzan+dSB\nL+IKk16uT+OisIiUIogtnK7AGiswJXHZQB0Yc3Rii7c3X+W4u0yYWyS5wbHKGu+rf58/2X4j5z51\nGv/SFuOJKZarFewdgbUdYjUsMBWeE3PCX+ass8QlGeHIGptxka1xgbo35uH2eca5zW9faZN3DSpO\nyAFTi42MIP2bc7KLNMfphAQzJZJbqti9lNLiiP6hIjfe7SDcFLVS5ROr93Dx+CTvbT3HUtzgctBm\nlDqcvO06g9jh+moDNTTxl0yqF38AtQMQ5Jb5Ouc6NxWd2d0mVG6zFRUZxRa+J8krBd0k2rG5mrf4\n6PA+HDOj7o1xSin7/C6OTPgSJ+kf3EdaUKhqjAT+wbn3I4QiiizdY8ghquoI5z/8+n0YgaCmcoKW\nTZalvBLupT7R59pPNMlcxa88/n6EmSMOB2wcVew3U35l5U185cJJJr+rXVW9IxVyS+HEkLmCNAGR\nSZISHG52WB2UEVcLeFspS60i14s1EDBuS4K24kC7g1KCK/fO4JyoY471JmDEisZ5RX/k8+ixY7Tt\nPs9f3I+7ZLH+poi/O73AIPP41vA4V4MW8VxE1DLByRFmjr3oUp3P9a2pa5N4GV5VAwzkfIXm+YS1\nqMFHKw8ySmxufjAlG1SovGridnJSXzehEDkfX30LYWYhJkPi0ORPz5/kK+Lk6/uCtWrT7ugx53BW\nkVdT5LbN0vIe1ETCxP3LNNwRt5ZX2IxLfOHRO/FWJcZUTv+OkP5RC+f2W7B70Ho5xBwm5JZEGZLV\nN3ukZwdMVwfMOF024jKfung3wbbH9EaGbNQwYsHnhrOMcodzwxl6icd8p8Vw7MDVAoUhjNuC/v4S\nualQSz5Xbu7jI+k+XX7EmjF3ZXaK4IzNy1vTlMIckSvsHvTXC9gFxfqbK5ovsGXRTSo8NXUIytAw\nhtzuXsMV+ibTsEaccJZZSyvIQOBsKxY3G3x5zxQb3RIHsr8a4/rDXexJhtwZMbq1xHCvoPmKgff8\nKsltR/hf3/onJMrkn3/mpyjegGcKs+zxdrg+rnN1p8FMaYcP73kEW2R8zL+Py90W4WKT2sURxvYI\ndWMZpRTCMBCOQ3Z0L1HDYXuka+M0l3SiAlFiYTuCtGjrpNiBgIFNtGwzaGYcvHWLWX+bh8vnmDYH\nnC1e57Vbprk2bnBlp8nWThGeqiIDUNOKvJRDLkjKOf6qZOLZEBSMJ23CmiTPJJeDNscaG2zdO2J+\naYLJr9mkrmDvL1zh70w9xcdu3stXXjtB+QWH2jcvQa2CkhMkJbk7RdBda5FBUsy5rbJMkFqwGGJf\nWce7dY7OVAElFGEdkrrO7ysZId7ZhJ3IY6NfZDi2Kbzi0vp6F5lWeWlnhqY7pHjZojaf0jnlcdbe\n4vvRJM/1ZhmnNgf3bCJRHKuuscfp8n/GD2BcMHVgZl+SKKjsCSjaMYPVEvbXn6Pl3sErszNMT2/z\nh3d/nBiDXyj8AtGCh5I6/koJeOnGXiw7Zaa5Q5QZDL89QW0+JaoYRFVdvrjbCWHDwtwTcLC9xdXH\n5micz1h5B/zm4T/BQLGTO3xjcCvTj+UUvnmOa//daR6675XX37tvXL0F+5sx+fwiVruJKvoEkw7/\n5uy/J1YG21mRxaCJ8UyZqRs53mZMXi0iY/h29xa2wiLzKxNkA4vqeZPGdq7rZkMxmtY0orWdEv6T\nJbytnNorPeT6NqpSIqt4dE4VebI1x7jrUYlSyHOcnsLZMEkLOTsntR3XW5cYoclrvQnKZsDby+c5\nZse44jqGyKkaYw5ZfaTIkbHA6eV0Oi7f6d1C0nMgH/1lSw/4IS/2rGDTO9Mmrur6M6xJ3BP7yE34\ntQvvIk0NCsvgbeeMLxb49+M3IMYG5lCyVarzz0ZlXDOlM/IJA5tSX2F0x2T1AuMTpzDCHH9hG/Kc\nwZzPaEqirJSnOvtf14/rcZ4gLZjYAwXL4vWAxIFh0LRHlIyQf738IN3Ip+UNaTojxqmlSwClv15J\nXTtOTO4QJSZxahAFZcxBjEgyHEdixAbjCwW+1D2DSHRZ4Qw0rTa34MXLs1zZbjK6WqG4rAMjlz9w\nVMdD6TBUfX2OwOnmeFspQdvm1f4kaS5Zv8fDuXWOYDrDUgJMrYiTBe1CA1jYbjDqeRSrY2anOtzo\nTDHaXybxBK9d2QOGor2qcDoJ+SsV3uP9PJOFAWeqS3SSAt++cYQ4Nmi4I9rWgOZkn/U7GjrdJtPC\nnLXFBgB7hzlGpYySAiLJIHRYyypYIqVcDtiZMvlBuoIsJJRLmic3TizGkY3TU7ibEeOWz2hGEYYQ\nVV1yC5Itj9cG05S3dcqwtWHx68sPE+cGy8MKW90SbVvAkTmMUC/wOLRQQxOzb7DxJjDP6HhxJXSp\n9O8230iYWfQij41hkaSoGE1KrKGJOZS4HcXjrx5BWDmmnZJZBnZP4a8ndI47jPYq0krK1rBAEpnI\nIiAk6RuqmGFFjxr7qW7qBjbEUrPWy74WGylwtyTmDS2ocno5UVXouG2h+NjafWyGReRu1zBH/90o\ntsgt2Dls4LYGtOwhZjlmNFsknzf+0vX3Q13sSUWx8lCOuaMjcoczgtGUh9ODxscLGGGO1R9CmlO8\nrg0GIskQUUZWdhjMthgUBdEcpEVFYT1DLa0wOnkr/Z/tM9zx2fOFJnYvZfOMwD7UQ45tLs3vQRYT\n9k1sI4QiLguikUlhNaF6MQKlEJlCiQqH/HV8GXPx64epX8x4/i2Co6duEKQW6s9lvuUW3HFkkf96\n+hsspzVWkhr/x/BBjM0eqtfHC1sox6T0WgZ/7nqVTJTZOuWRGzD1DRN7WGTP0g5ifZvrHzrEx/6L\nj/JCsJ+PPPYjOJsG1lAbhsrXQsxLS9T8Q5y7bYZWvc8H3/cIdXPIZ1ZuZ2mzhvRTUiunXh3Rtvqs\nxlXCyxVKqwLvoR7/cO4RfpMHWd/egzmCiUcNrEBRvNJFbg+Y+2yJ7OsFXntni//pg19kPmnz5eWz\n2NsGi5U6c36Hn5p7nolDPb64eZpXHjuMsy1onJNYoxxvPYR2U8MT+pKh73E+mKFpDjg7cZNOtcAo\ntQkSi7ITMuX1GaQOF9YnGfc8GisZ5sIqyZ2H2HN6BYAoM9juFyh+v4i3KXEGKUaoqF6Cl0bHMMdQ\nvp4xlSmCmmT9rgr2jsL+dpH2Wkbxwhajo02yD29xurHM81sz7Ax8VN/hiaeP69jrUOfox+2MqA12\nz8DpGFSvxBTWDPr7bLK3aq9DYVXhXlxl/LZZHnrgRV7uTLNyrYnIBGE7IzSgMD3A9wPWnp+k/fyu\nwaZnY44kcUUgVEEbaXKoXs6oPHFNvxymSTzXovOwhSsTnn38FvY8ljKaMBnu0wnJjfMxJUOw/e6M\n8skOtzdvcsxb4cDELDdO7iN94m+IqAYlENFuNtef6yNkNgQNU3uWBzFGnJK6LrlrkFW0Wypz/sxP\nnlug7JzMEgjTJDcFjpkxtjMy2yJzJMrcFa5YGcoTuF5Myxtiypxr01UyR2IkJuYgJqm6RFWT8ZSg\nbgxxZULUzBlNGaByFrca2FZK0Y2QUvPQheL1wMelpM7Lg70wtEBKhOuSVjwy39plawvsToCx0sH0\nHcyRizI0e8wcZ4g0RwjddLwcT3Ij0tgrGWs/uZEowpaN5c7R32dQKY8o2xGXx20kLQaR7kuoVEJo\nMAocroVNVqMK1kDHRQ8Ch05aRApFUthleUuBEgplGGCZiCjGTFL89QK/vXk/cW6i/IwY6A58visO\ncbCyhVXO6MUe5kjXpEFD6pLF9HA9k9wAtyMYWzYL4xYDx2WQOsS5PnUsQ4t1lnsVjUHuuYihiUxS\nyPWtp+1rjXycmUSJiYqK2KOcqGSQNXWkuN3XUtygKV/HVAmF5siHCqufIZIUoRRFO2LS6bG/7FO0\nY64MJ3C2tR/eHEFui933Zje4s27r34/Ut9AskwgBg702yGlyEy73WwxCB6Ta/e8FSiqi0KKLLr2U\n3G1MDyQyhqQgUVKHmoIey6l6BWWbxHWP8YRFGKec6+/B6QrczZDc8khKpoaUdiNy2wBhU7YjQPsQ\n+rGDNdzNbfhLnh/qYjeH0HpWEjYEia+bauZYMdoDpbevsz0oYH3Kxe+O2DlSp38Qor0xZw4usjEu\nsXlV76BWO6DsJIwnalQmW/pK0/fJRhapJxDKQKSCYOzQqve5pbbBHneHe4rzSHKuTbdYjmv80Vfv\nZUL5rN0tefitz3HA2+R2dwmJ4n951x9xM27wW99/K963i/QPKQ7esUAQW6i4gBEprvfqPFk7zO9e\nuAfrxSKNdUVWLZJPVdk8WyCqQXxszP6JDkvf2svsJzeRnT71CwbKMsgcQ2fDTxQRrQJuR/FrX/kJ\njFhQWhEYocLZjUq6+aDgHXdd4B3eJm/x5/n28Dj/9o8fxF9VdE8q5HSA6FoUliVxp8h/UKdJQpP2\nYk5hJWHnapk/LL+RzsgnbSVkRQMlDKyxgREXcDwTYxghhyGTj22zcOEYOwcc7v7QRU6Vb/KJL78N\nXvB59vgkz56cJVopMHUlJy4K6h9Y4q3tS3ziwt2IhQLlBZj5epfhgTKP1o5QqISkqUQpQdEPKbsR\nq5fazH41Q0kdgaWkRimJok9cUdxeuQHAIHMJM5PtUR27l7Jyr8WhW29y+fwMU08o+nOSoz96GSkU\nr37pKNUrGW4nwdoe6wU0UydomCSxw0Zc4v76JSbNHf7R0k9Tu5RjjnOcbkxuSYZ7bFJfEFUF67fv\nagMSSEoQj2wsN6X6wZt4ZkL+yiwbX9xLOKGw9o/Jc0k2sBCRxHmxgNVXeIHOi7cHisol8TrsMnM0\nR5Acevslg31NwmbO5MkNDCC41uTFK0eYnM8wNnYoJBlG6Ovos1GMMnTOoSFz1sIS2/Eh1heaHPlu\nj6VB+peuv78ii/I//yOU3nHl7ijJCHfRRTnsLe3QKg91QiZ6d019Rbk25l2tV3hD6wZ4mU6IMTNM\nI9MnvKd34DQyINHoo2zX06tyMISiZIb4MtbxPzLizd4CD5fOkTRSwqokbSbcV77EafcGiZLkCN7k\nLvOe0jmEleN2tVDFNVIMqRCpFoH0Bh4XhtPE2y7+msLpa7NF6pvEJYjLipnmDvc0F4gaOVRKqKKn\n6aVCi0dSTxLVLIKW1lcXliXemsAMtOxWGZC6AtmI+Fu153mo8Con7YSmNcDbUFSuRVh9SRpreILT\n003HeGSjAlO/sFmOTGAU2+S5RDoZyslJSzqmK7N3TzCpO9ViHOFc6+Bt58z5Hd7gX8UIBIWbId66\nItz0cLoahaUk3FZb5uHSK0zX+yRlXbKItQ7eRoTcsRj1XOLAIo0N0kxLQM1A4C108K/3McPdzALf\nJKsWyTxF0xxQMca4MtESagPdSa8m3NVchEqiP2sHTlducrp8U6fh2rswBinJXJO4ZhMXBcbuVbJt\n9tlndnczCzKsYYqMUowwxd3JcHZ08y2u5sQ1RVRXZJ5CjU2S0GRfoctdtUVQ4G3lmCN9nZBGBlYO\nuwGqTk8hM0Xq6mu82K3k0oLuq2TOLlKsrBhPZxh7x/z4zMs8OHUJhMIMhR6jGcafwSX+gmcQu2yG\nRYyhxOiOIP0bAolISorVtyiazysar0aa9zaOKS4XuLR+CyioxAnJRJnK1ZjSkmR1VOObreO8ujlB\n/WkbcwzDmQpDX1EaKILpIkqAs2QjMkHqowknlZRCIWZlvcrKQgty+Li6H8opH37DdzjrXeNdp89x\nfnaK7laV//7zHyAtZ+yZ26LpjThVvUnFCJCG0kiqWkqOYBxZNJezXRVWgRert1KVGsaopERm2isu\nU7BGghuvTfL7N5qIZsL8PyuDUAhAKUE2EIhUQCnB9hKyq0XtZZb6apxWYXg0odQcIUOLv//kz3LL\n3jX+1YHPkCsNZwj6NsUbCn/NobCWUbg2YOdEhfT2CMPI2T5eYbDXwzg84IHpy1zoTTEftZGFBFVI\nCIYW5nNgX9skm6gSzdbonHBQD3SZKi3TtIa8HMySlBT9gx5eJ6f0FQiaivU3SpJqxuVBm3+TPsCN\nyxNULhoUVhMdpzQIKV31iasOwXSKKCV4dkLLG7JYyMmrBYIJj87bQlr1AYtrVcSwyOETN5mzN3k5\nmOVba7ewPfYYns3pnjCo1AZcHrbZN91h/Sc02uoTT9wLAkqnu8i7IpZ2iiRDXwtucrAqI35y6lUO\nuTrz7VraQHYtvKUu431lVu8uIxNovxDhbIbsHCqRV1Kq7T53T17n0aVDNP5DCXtk8lL7Vp7zBAUH\nBvv04k26LqKQcmRuDcvIeK08Sb9vo+wc4WSYVkbBj7RPY72AiAVJTW8Orcked7ZvsNfd5r7CRRJl\nYN2dcT1o8K2ZY/jHp4kaOXJPQLbqceAL+rARiaAbemx1S6R9G28gGB9uojbsv3T9/VAXu+MmNPZ3\nkU/XcRY2UHEMQYi36eNs1sgdk6TqkJQsvOUBcnOHwr79LA2qDDoF9i8mWP0YmfnEJS0wicvaE+x0\nd7G/tu4B4GR4dsJ4UKS4aGCEOn0maDtcOdHmpLvEj9Ve4N01yT/svo/WMzlB3WCZJhuVEqmStNwh\nCEVcVQhfX4/S1MDuJ5jrO9S2BihDMjzRZOeg7jTHBU33RGkUsLcmQdhkpwf801NfAfTVtJf5PN45\nxE7ocbS6wUF/k98b3YPb0ekq47Ymsh47uMLD7Qt89Px9+BdcLokJtmddMiSppwGO3naGNcxwVgeo\n68u4U8exbU2nWZ4okJQlR5sdbvOX2IqKXJYtTCOjUgjYsXxkYpNtbsFkjahuMTic8bUzH8cViq+N\njnA5mNCpKQ2D2uWEwsvLcHaG7b0JtdKYraDA+riIs2Hgb2TYPS1AEVGKt5UjU0HY1JdI28gomZHu\nufgmUVVy94FFHqhd5OnGQdbDEnfVFqnKgEQZrHbLZJmktKePbWYU7JhOWGBfaZsHJub5zvoRus9N\noyScPrXMz7Wf4NVwhmthg+2kwOq4TNMdccq/TssYsJLW2EjLGlm1M0AdqDA+FCNGBvLpDGN7CJQw\nvZTTrRV+pf0I10Z10ksCubRByfdQrs3Gm5v0Du9CFUeSzJEcq67RtgbkSrA5KlL1AmrOmKYz4pi/\nykLY4gvdM8jQQHgpXjHiTOsmf6f5PUoioWEoJLC3+hyjsqSXuDxnzzIz0eVd0+f5XOUUybdqWINU\n5xLEFmnfxt40MCINnfxBnsBf9Pz/w3ozBMqxyKZqRE0XGee6XlMKc6AFBGIcoZIEe6hY71QQVs61\nH7UQiY8R6Zlz6mstsbNhUrmiiCuC/l0B5VKAyAyGgYMMBUaks+N2bs0wSgn9xOUrvVN8Zf4E+U0d\njLF+J6SVlEOH1khzycXnZlnclqhmTjIZU6oE2DJlprHD1fdMY4xnyG2NTxKtiInGFmubFZyLHjLj\ndRxSXNWRVAwc/unTP67TbVKJdFPuP3yZ+5rzbMRlFsYtyARhXV/blND14vzKBNuBj7xQpP1iTG/H\n5afjv4cIDdoLOW5HU1ZlluubRamIvRPB4zU2qwo5F1KYDNkcFfntxfsYRTZ5JonHFvH1IkYo6B0E\nu32GwT5JMJlDMeUXL30Ay8iQKOLcQJmKsKVYbZuoe2YxIkHhOZPE9Fidysn9HGZj1g5n2JcLtBsH\ndTx1qGBHuwxj28KfjrmrvMAj3lGMfowZ2EiRkyiDb507TvGyxXzhAJ8sPqAZbQMBvsK4LaDujZm/\nPI23bDI/FzM+YrOyXaa2a13eCEpci1t89Px9mC8XtUbBVSwIeNq6hczLeevZV3modoG4kTG6bQ/d\nwyZ7Z1bZ6BVJiy6m6xBM5tx3YIEJp8+j40NsjIoUGi5u0oDdzLvSUoI1NhnOSIZHEwwn47HlgwB0\nN0uIsUFHaKGT2QiI5kwW+k3KFyzcjqJzyiaxM7qxz0pa47nRfj47f5o4sFCBqRuoforlpiyt1Pnd\n+bciQ4lzSoCwyJ2U3o7P/8PcewZJdp1nms8516fPyixf1VXtHRpoeEMYkiAXlCFFakjKUKLMhnbI\nWW1oZEKrmZ2Q1kSMVorRrmY5WmliZSitJEoaSqIbEiA5JEB4oNFwDbR3VV2+Kn3m9efsj1PE7EYs\nJhQxEwjm78qsvHnvd+853/e+z2v1LeNdqGrW9yvSp75HFHRg5tzKBjyXwWKR9mGJ24HGm2CFGXY3\ngiRFDEboJMXtK/SGhz0d8ivve5SijPnM5fewuV3hyPw69zcu80ev3UfhGYvcd/iZm5/lPaU3+R+v\n/hCXV8ZxYoFMNHEdPnHPsxRkwnPtvZxvTTD2lYCxR8+z9iNH2PujF9lTbHNn6SqnBwvkT01Sevws\nyz93nOqxNjU/xJM5t40t85MfeI6yjJh3dqjJhJo0Mso/6e3nX8WPGKJqaJ5kztSIPc02V16bZfrp\n3fSVVDOc8pm7uc1/WzvLZ9rHOd2ah1wQ13bbKNJ4CaxrPturPrMvZzjffJmpiSZjb0yDyLH7MSiF\n9hwDLbAEulTA2u4z96UB8XydjZ9PeP/8eb588Sb0tSJ5aRfh1bdpvCqQmWb7FkE+mTI91ebe+gbP\nriyy9e0ZtAXhnhThmyVnMqk5fvAGn577Nv/ijQ8z9RsSMYzYuWeS0aTN/A9c43f2fp5/Nv8Rzov9\nuG0YO5dgj8DtuijHouTEvLtwid8pJFjdIc4gwBGKVNs0nreZ+PtzhtmW58jmGPG+cfpzHuqkZrLQ\nY/3cHma/scPauxtcaIyT7QQEWxnaFmwNiywlDfxnS0z/3imsuWnCg+NYYY57cRVdLvLsby7yw81T\nFCeGZouzP+Pj02c5HcyzWdyHFzj4swM+PfktToeLPNE5RKcfYDVsECW8rREyTClc2KKQpKiHFxD3\nDUlTm87VuulttA06zYo0dgS9vSXerE6yuV1h/4sjnBs7jKbmGY5btOMCy0mDry4dY/LPAoKNEGtz\nC3LF0o8voO6OkBeKzH8rpD/n0fmhAbVSyGi1hmi5uF2TwjuaU3zyvqf5bLn3trX3jha7b2UsVltc\n9MfRtiQcE4SLCXHXRigPt+dSP5sj4wQ11SAvOPTnLHQjxvUyvtU6giszLKkoV0I2BiW+FJ5ADRz6\n8xZJRfC3V0/yTGUfo9ShXh/QkZp2xcWZCHFEjkIg0dhWTndR4jx0kMGCpupGrEcVPrPxHtr9Av6C\nTfbIUXIPVq412agkDJoellS83pl5S6QjheaBxiUeKZ3BQrGwZ5v2KKC3UYJcMFsdcLiyyfpimY24\nitxNO1We5kvXTvByZx5b5NS9EbKYkZQdrBjcXTiBFQmUA24v3fXyOyQ1l9wXpHsNrVWmJlwi2Lbx\nUjPXF0mKFeeMej7n+5OkQxcvgcxR7Jlos1Ms0AqrWJE0F+Z1jzXqOFIx3CowQ6V9FwAAIABJREFU\nccM0kLR0yIo2+XRMqRKyExb4zNLDdFYrNEsJlmOZFVkkuLg2wWdK72W5VyWuK1AS5UrE7jhNO5oz\na9P8ovoo4U5A5/Yio0mLdhJwORpnOCsYPHAAbyfF2RmipMTuxXh9m34usXb5BulYgbQEVT9mUMyI\nGg5oaG1U+Ko4TlKF4QdvRShjmc0Kkv6evaQlQZYN+dzmPYxWSzS3NXHd4s3+NJujMpkvSKouELOV\nl/n69jFefmMv1sBiMGv8785cxeC3HJNrFzUF4XoZGUlKSxIr5i1kuTvQ+DsZWeCwvjyG1bdISxly\nomZ+28QiTB1GyjWGopLEGTpY6xodJ9gD6HQCghTSkm3GvVdKbAYGUKId0+jLAoE9kPz1+dvYjl54\n2/p7R4t93O7zU1NP86u1w2jXpr8In7rrCVbiGs8e2svmZoXimkfQGrBzc5XuAUgWYu47eIWlfp1T\nzx0CDTMnNrhreolvnj5O/VWLoCHYuTtF9i3G/6ZGJ6vR+diAHz90ijm3xaKzzWZe5mw4SzstIIWi\n6kVUH76OfJ9mrz9g2uvylevHqf5ZhQkN7Z/scseeC3z123cw95igP1dg6YiHSATFZYk90hS2zejm\n3z6ywOb9ZQ4GG/zR4T9nOavw68EP0RoWeP/0Ob6v8io/03wSTkKkbXbyEk/0jvCd37ub5DWbMz9T\n5Kfuf5K1ZoXNKR9/W9B4I8buxyjfMeOb5R0yQNVLdPYb/rx7c4daELG80sBq21QuujRHAdYoQUQx\ncpTiLgW8kc3ibDo4A0F+IOXX9n0NiWL1aJ1Xhnt44o/vYuLFPpt3lFk6OkntvEXz8SWwJOV940RN\nh9bHUn5032n+8PT95N92mcw1wzmDm9ZC4PQ1xWcLPPnKbYxmFNW9HTqFMsklC5nudqCLisJzZTpX\nAkoHbHY+1sdzM270a6wNKzTuXUfdC5fPT1B/06e4nlN65ioFNcF2amMLRdxUtA/5jGZz7q5torSg\nc2ASewjVV13SV5skd4Uc+4FzfOPsUSa+4TKckbzn4y9yMNjkd19+Ly9+6ygT5zT114xs+PnFRVQq\nqdUkynFRKuHUcB+vP3eAY7+/yuD4JGs/EdGoDnGkwrFyHp44z0Ols/zqhY8S/N0kwY6icm4HlKJ9\nskHUkBTWU7xXr+JvTGGPDKJrNOkwmHHIXZNW1A19ttMSjqXoz0ly18O94UK/T3EzJ77iYkfQnzOK\nz31/O0A5kqVHisTzCVlmrMeFVcHYN13WN79HsFQAud4VQGQKOxScG07RTXxy9d2Rm0QVfCMbbGZY\njmKpX2e9XcbfMu9db1WQQmONTIKlzE28jh0K/HaGTBRhO+DN/jTNep8Fu0eOINUWg9xjc1QmTG0O\nj22xWNhhLa7yYmuB/kaJqY0YbQukVDScoSHb9DLsSO6mzpqRoTMCO1RYkUKmFrFyiLTDUNtEuzxf\nITSOyCmKjKrMGZMuLTViuBviYIca2RliDcqsxlVGsWt+GwUyNsrBrO6TlSxkXMXOZgkniiaIoqQJ\nhN6V8ALKBGYkNRdZdrBqPmnRNpFULQe3ZwpyEFsk2qIiUxadbYaBxzcqkIz55AFvMd7yqboJLGg6\nRHVBtRgy6XSNgUeZMIWkaMamzsiMmYSW5BEkVUGaW5D/x+wxKxRYA3MhpgUTYJgmtnH2pcY9N1fr\nMOaNWGtUGU0FyNSiXAzQnkWeQ5g75KWccNKBWkrZifDtDC3MefE6RpPQDW0coXCDlHDcJ65r6s4I\nR2SokY3bNduXvOiRBQLPT0mkjVAamWmyzKKXmbCOdKpG2LQYrw2YLXXpxgEKwaTT5aATYgmN31a4\n/RwtBLg2yjGrMW0LwyZXCpkZ1ntaNFBOmRkCT5IYaawllZFJ26BKAVZaNT7+njk2ocz74oZv/PFV\nRVCJiPol7IHZqipX/hfLevvPfvWUz7d6xwi2NdZWh/lv2Jw/f5ykKIgnBEUFcU2RFqt0j2ScOL7E\n62f3ED86xeRAEawNEVoTveGTFKfwFyXt44rCmmDP1xQyzrCHmQkD+GbA+RePcPp9cxy7Y4X1rMZG\nXOFKv8Hm6UmcvmDnfSM+OfkMP3/2x5j7C4eD7QTn+ha6VmZ4pc7fcgvBpsAKM5TlIsdi8sgm2XFR\njiBsOmgL5OyQKa/LlXCcr63fRC/x2NyuoJVgPamwlReRDCjLnNPxBP/y4vezuV1hrCQYHh3Hawm+\n8cLNu3psgd8ydFQtBMvvcwmOdFheL+OvL5DUFP58FyuxGb5ZJx4Kam0jTkpqsHafTVpV1Pf2GEUe\n/uMOY2cVXifFHqSkpTJ/uO9BFos7vK/6BrNOm4MfuMz1e+rU/Jg9XkRnb8DVO0q4bsbBxmUa3oh7\nKpdZdLc4Pr/GmbsXkLHAGgncnmDsySH2eod4b5Ow6ZCvWQysCsFQIHOFlWomXk7N8TyiuftHzvDN\nM0fZ89cOWeCxdasgqucMCiHThR737rtKsmjx0tU92OGMubijmMvdBrccWaJxy5Bpv8teb4tz3UmC\nTShu5FTOdhDdAZm/h0f7t6KaCYsfvE6c23zu7O2kI5fyeYfChmI4KWkfKZIcCPnNm7/MU71DvPSF\n2ylf7LN1e5mrcw0evOcNqg+ElKyYPd4Oa0mNz164D3vL4S9vF/jzKcvLDY6+uo0ueGzfVTdS7LrJ\nqHe7DnZ/jrjhETZNKm7UMMm51YvmO9+oBUwe7+HbGYPUdPdbt1QQqoLfzmmeiUxMtivp7nWo/dQa\nN9VW+YnCOkUZ8xtXP878N3q0j5W5/o80yZvfIw26SDksDetYEeg4wVneobblkk5V0baPsgVpIKAg\nkOWIuUKHM9kC5eUYe5Bi7fRBKYpdD+3aDGbriLEYvR4QLPcRmSKrF1COJNhK8Xeg1TbgyU5eoJ0E\ndEIfryNwu5pe4pEjUG2P4unr6CRBS8vEBQ0Fg25AJQPlWihH4DimE5sHjkE9B2YvWirESDSdNGCp\nVSdNLVRqIaSmn/ls5t9NzRpwJZlgc7uCaLlGvFGWWAm4LeMXsCLThUdrcCyyZsqdU8u8Zs+w7Vbw\nSjHz9Q5bwyLhqIjXMfFYVqyJHEFaU7iTIz6++DJXwianspMEGxHWMEGECW63xHLHsOHXizWKMuZY\nZY3JoPeW8GQ66LFYaVFzQh6snqNhDYi0Q18FVJwIuxGRRjZaOsaNF+fowRCRjhkkcqaxR+ZYvvty\nehkiV+iSzSeaz/JEcT/FKzF50aVzoGzGjYnDMHOZD9os+jusDyt0p6aN9yiXDGOXuWaHeyuXyLUg\n1TZai93wBI1odcm3timuTxM1XfpVycMT57geNrl2bQK7bdx6MsXksE9mzI93uM9fYSurcFpp5ChG\nphUybXFLeZmfqrxJRyneTJtsp2Vkx8bfEmz0ylyPDUNAhDE6cEmqgrgGWdHEMiUVi7jpkZTNSkZZ\nkJeUifJKLbydBCsM/j81oqVJ8UWC3wJnZ4TyHbKyi3LhI9Mv8/7ieSSQYsQ61o0tOFpmcc8WPTfl\n7V7vLIOuW+DcNw7SGOSoPRNG8bPdRs/W6BzWKD/H7lnIHNTQ4esXjmI3Im58WpFsFJj9VgG3l5GW\nLTJf0j+U8d6DF/l2+zgiUyQTJS7/mEXQCInWi9gDSXN2h/WsypPtg7zywgFkKshnFMM5jffcJP/s\nmz/LzPUcXSqgauN0DhVJKoKsrEELhveMSB7MAANQLBZi9j60hm+nDFKPOLcZpQ6fv3aSNDfhfUGQ\ncN+B89SckEevH+XxV48gQ0Nd1RYIVxsDRmyaa1FTo/cPSVcL+C3zN93jdRCC0nnJU2snyEoaCjkF\nP+GDU68ZTPbYPjpxQK4N/HL9yiTlcw59O+CAZww9T9dvJRr3iA4ZbUJWgPS1OudlnXNyLyIHf0tg\nR5rOEU1lX4fOWoXqGwZQ8cy9i9QLIddfnqW4Iugdzjh8eIV+4rHll4mqDtc/VMWKqgwXMoKJwW7q\nqIVsO3gtQRpYrN1jkdUzhFD83POfRCwF9I4Eu4o3kzuePtXgQtTg1O0R/+jEyxyubbL0gym9xKO/\nXqO/XuabySFOlebZ7pTQm7s9gxOK/l6Lhc40rtZ42yHN1yEcd5h3WkzaXbaPFdkYlblWm8Bu2WSV\nDFlKKbkxsYZZp83qA4L2oQkmbl7nkfE3ONVb5OHLd5PmFnFskw5cxl8VFDdSboxX+GrhOHIs4eI/\nmcfpCyrXFIV1aN0kyCs5ybtGiO/vs3F2in1fiEhLNsszAlHOiMdsRtMeMoG/WbqNdr+AnjBoNHvE\n7rWhEGFCPFumdcwh8+F3vvIhfquUc+8tF7mjeh2ZgB6rMpoU/MzsKVad/tvW3zta7M5AM3EqNQyy\nuo/fj8g7HaOLnh1RKkR0OkWyyEYOLGTbp3pih88c+xx/tvMunrlwG8GOIK4Icl9Qm+7wwcYrPD52\nEHJFUrX55D1P85HKaf639fdzZmuag/UtOnmBK50GtbPmwurcH1MsxVSeqlD5968ja1VUo0I04dM+\nKshKGuUbn/r7D57jU+OP8/fd2/irC7dT9mN+bf6rLNghryd11rMqf3rjPlavNcFW2IWMopfwieaz\nzFoD/ub0HTResCmtZxSudgnnK6zf66Is84SRmaG23Dy9wavDeUTmoCyMCQcoLymckaJ12GawX1Fw\nUx4oXGRMZvxw+Yz5GyHxhM0D4U/gPj5GNGExa7cpypi0qEnKBgMVTWd4GzaVK2afXdhMzLjz+iZq\nMER+9Ca2qyVKl2xmv3yDfLzKpWaddqXC3scS3CdeR/93d3Dozk06aYDAiJqiMRsBfHDuEvdXLvB8\nfz9Pb+xjU1TJfQ8tYeLkOu+bPs///crdBC8VEDkMp6y3WGpWLGi+mhBcbZNUJ9k+XOJIcZ1/OvlN\nziWT/Mr6x3A6FmlUZMMNKCzb1C/m9GctrId3SHOL8FQZZ6OE1R4StAa4t88ybveoyRB/PGUjrfF3\nnGStVuG72pOCnZBoyZg1YO7IBjtzBb5v5k3eFVziC2sniV4wdl4HCEKoXRhib/UoHJlmdbpGtTri\n6IPXOLU8j/eyh9tJ6BwuIlzFhw68zm9NvsI92UfxLoxwSwV4fwPXT0lLPnFVIlPBxmrNWH9rOVki\nkYl8K/VIpBlpSTJYyHE7ktnHDXDzheoi9r7cxFYVPZKq5pHief5Ifq9gqb5LqpkJSIoSp1dA2A5O\nO8J+pUq3UWD82DYzpS791CdMHTqjgB9/8udg4FAoQr8gGc3m6FKO6BT45ec/hnPFZ7TPJq5afP7S\nSZ6r7WWlWyUKXV5JZjnfGmcUeUT3GICj72ckiW0aO75HPlFnsL9EOCZNrpkwwZMygyuLDazxXaCi\nNhCMa2mTnhrwu8vv5/Jmk3QrwN+ySEtmdZIrSScvGMJILHFCTdiwGU42yF2wQpBSMJyFIRb+Jpz9\nzj6CSJBWjN47amiQmqwgcQYSt69pvmix1Zrk17wfRgrNxY1x0thG7C6/rRWfUhVQ8K9WHjEY4qmM\n7YKFPd/nUKPNBTVD7YJplI0mXbR0SW7ei3IF/UWFE6QMDgqu/PScOWe5xm7ZdA5AoXYrWREevXSU\ntOcRXHcQysiglad5yZ+nYkd8Z+0AnTMNgq6gtJqjHMHqWp2n7P3oxCIrGLFLWjLHqC3jwtu4w8U5\nMkm4kJBrQaQc+srIP8eafdqyZGbLLRMu0d1rcunjlxtYERRWh4g4oXvHDJ2DFqN9KV9s30bdGVG3\nhygtWSy3COyUs5dnKF5yOX3MoT/nECmHnUGB0U6BP0vv4m+Dk3RWKpRi05D12wotBasPFckKBZKG\n2dIVvYRbq0vsREW298zjly3sEagVl383vJvPV29F9Rx6PztBFmiqC21qhZDr+x3ihoP2lIFTjmz8\nNTNeiyYU4Zwmani4N5nACJmYiNewaZvMwmsWT/aOYFUUVz5SIpuL+TfbD7KWPfa29ffOFnuSYa+1\nSQ8UGcxJ/JZP4HvItW3mvw69A2Vue2iZX574D4BBxb33qZ/n8O+MiCeK3HhYkjYy7j1+iZvKq/zx\nY+9lz2MJcV3ROeigbJDPV7lhVd8idWZDn3AgiA7E/E/3fwGF5A+uPGgaaBJEoUA4W6R11CIraCM6\nSQTla5qgnbN8svYf4QFKEKc256NpE5zw3AJjZ/SuFVIzmhKMJg2DrZWXzDGMjNe7fdhmeDyCjkvt\nnOlmd05k2JWE2jcCJr69wuDEFOt3WaRVRXmPkYdu1yuIgcX0U4Lqo29SP7GPa5EBNCw+0cfe2oEk\nRWcZozsW2DzpIDPNKy8cIC8oFg9ssFhucX/1Iif8ZX6u/0nsqIKyBYNZSVKBxt3r3Dm+xJVBk/VB\nmSOLV/mJh5/lhdF+/uzfvwd/W9A5ltOtJ4hNj+ClEo0Vxdh3roMQDE9MEzZsVotNTrkxrQtjzH8n\nw+lnONsDVMEluFLlSjaJiCRJRaMmYm5aXCVTkvV+mUxJaociSm7MfislUxYj5bKjigDcMbnMSrnG\n2Z0FCmuCcFITLqa4qw4LXxth7wyh1UVrxeadkk9+/7d4rTfLY5ePUvATHpq7xITT55byMpTh4vML\n7PnyDstZg/67fPoqYNQq4K3bFF628ToFmr7Z9ngdRf2NHvFEgfGfXeFX5h/jd2+8n9eXZpgo9Hmk\n9AYWmv/z4BzxlsTtaoINqF2Ksc8tsfajR/jNX/wjxq0+3xoeZTstc7y2TqxsLnbHWd2pkrddqlcU\nmS8QJ/vcMrWKQqC04PW1GeRFk4Y0nDZW6LEzCieEGx9O+fV7vsi3O0f5u9duZWf49NvW3zs7erMs\ndKWITDVuzzQwrLsOGXfPbgjBteEYT4aLXIimWYlqsOajd6OMvJZACzOqmHN3YDZk56bCW6o0ZQtG\n0woVKJC7T0a96ziKLP7w+gMkucXm1QZ2VyK0Jps2ksZgUxONCbLZDAoQTvgo1yLLLB4bHuP8YBKA\nKHH49sYhoszG6QmsVJswg1STFm10bPzkX985jmdluG2JHWYoC0rVkH4uyV3jcJMjSYZ5cqlaidwV\nyExgjSS97SLC1hDvPoUnJN49h+guOoRzKSKy6B4q4jd97FGOjHOULShsauK6IJ7MwFVcX22wZI1x\nY7rG67U5eu0CJUsYAUkFspJiu1viObXIIPKII4drdoNTxX1cDxvkgYF9WCOJTs2SfDSryD2JM5pF\nZBDVLRPJBIxSF+UrBjM2dmThV2xy1xyDHFiGid+DfuAwHXTZiYu0V6uIRODvz9hTbtNLfdZGBVaH\nVZ7dNJShkhuTKYkKFElVghbYOw4yF+ycKOAMA2rnA+TAYMEuj8bZiYqoXBIlDmc7U1yzG7hWZgRR\nEkaLFZQLf7NjUsykn5GMSazQIKxzV5gwxzHJzi1V0rIgDAt8uXOS5V4VFdmc3ZjiX+gP0woL5NWc\nUILbFbiDXTtqGFHYUvzu0vtYKLWY8nr4MuVy1GRzVDZ+eDBeisy4QaPQZSMss94tEw495JZLcVO8\nhbmWGXi7jj0dOaTa5sawhn/VQ8ZvP3sTWr99q/6/9Ks0Nq9vfvgXcLsZVqxYuy9A3tumv1Fi7LSN\nsgSdW1OcUkLwXJHmmZjcl6RFCytReDspUdNl/Bev8L/s+RLLWY2VtM7/fvZhqn9VZjAj+djPfosH\nS+f40837OdeZoBf6hKGLdSVg4Wsh1tCYNLQt6e0vETYl1aspxZeX6d+9Bz69xWJlh1c3ZhmNPPJU\nolOJsDWWm5MNHCpnHZyBNl3wRFNYjXBWWgyPT3HjYQvlGD6bFQqaZzKKV3tc/9AY7/vwi7yyM8fW\ns9PYQ9OE+e6NSmZm+Z4VBCIzFkktYDhnElaYDdk7ucPhyiYfGTvFVlbhsyv3sTko0d4pIYY2jZck\nE99YonPfPNVPG7pO8n9NUz3TonNijP4esxd0+pp4TNC/NULaCv+1AsGGuUmkFeM5yOoZwlG4hYQ8\nsyg9VaB+KeHaD1r88vu+Sjsr8lpvlvVhhZWzk9h9QTKdUmqMUEqgtSBLLdKBC6nA27Jxhph9+StL\nrP7IAf7pP/k832wdY+m3DxGsR1z4xw4fveU0z2zuZfXGGMFVlz2PdskqHpc/IZmabdMdBiSxg3Mx\nYPzljNYRmw/96FM4Muffff4hahcV7UOSaD4FW2G5ijyRyLaDzIwLDjC21SBHhBbejiQraCZPbjBV\n7PHayoxxsiXS5Nc1U957/Byxsnnm1GH8TesttFj5Oky82Kd7sEThv15lPBhw/i+OMPliH2unj95u\nIaoVstkxuvsLzH3qEvePXeIzL78H53JAMpZjNWL0ms/Mk2arsHGXcRNOPGPReKmFtiXaluSBw3DW\nNCVrr7cQrS5XPrWf9/zAaR594RaO/O4Wz179E7rJ5v9vxb+jT3Zlm7uk28Wow9yAY81N3sglSbmK\n0EYck2qXxqbCv7JNtK9Jd8HBjgRWaLzG22GJ1+MZataI494KJT9GqBIyg24W0MmNucW1copegi0V\nAzfYRVylu0KH3WAAYRohqtfHHuR0YpdOYt4vLUXWdXE6FnmgySoCEUmsUGOHehexbGKA9XCEFSlE\nZiMk/6+7sDahkdLQQcf8EaslBRiRjkwhC0zjUFtGhmmPTCwUGgbCQgWK6bEe7xm/wAF/nVvcHltW\nn+PVNQp2g1HkEicSoSV6MDArJ5mTS0meKMQwxI4UViQRmfGgKxscL0NK0yh0Rprc2xWCKLOCUoHC\nrY3AzdBWAZRGu5oT/jKtvESqLVyZc8OaQGiBiC1GAw8vSBkrjQhTm64W5KHpf1ghOP0UtdPC7Wre\nGM2y1K9jD3JkmAIOnszMCFAasZS100ekOVa3RqtcNEYioZEJuw8Nmwm3hy9S1C7izh6BvWOTVXOc\nUoLWRlxkRYY6g4C8rHCrMUnm4/ZMo2yUOCSBTbkYMbI0ceiQjWz8Ssyh4gatrIg1knhtiOsC5Zrv\nYe30seeLNPwhs36H8xi4qir4iNlJdJphL29TLEyzPqywWaqgImv3Zi8Qu379zDPSYqcnEJlFYSOF\n5TXkWI18vGoSZiNlRDZhjB6FWCEsDevYPQkb2+j07eEV72ix60pO770j3C8EBJe3QdeYD9p0awEX\n95R2MT4akZpC1LZF64iH/4MbSKHZDn2i0MV6bprffPTH6B1POLp/lY21Gs2yxG8pnv7tu/mOew9b\ndynKcz0W6m2OVtZZGa/x2qFpRsMS1hUftyeoX8yYfG5gcuRmp7BHGfKLYyz7DYQFAVDtadyBIilK\n4ppLHkD3sPnBZ5/QFM9tI6IELcy2QGaQ1XIevO9Nas6Ir4/upXDVMM4mnS531BXhrQ5xbr/lKst2\nR2cNf8je4g6Prx5EXx/DGebEB1IeOnSRe6uXeVdwmYLIcYSFAga5RzsuIN4oM31e4bdS9MIMWSA4\nuz6J4+Qk91hsH58nXEipTbboXKvReHUX+ig1vpvSXciJayZo0e1qrFBgR4KkLGEOKn7M6h0RvUMO\nhw/dwEJxLWny1eXjtNpFKhctgm1F5kty16e/6BMeT+gPfeS1AG8gKK6a9FuRKazJCcbO9Hj6t+42\nmOiDkJ70mJzcpGxF3NZcZq7U4eXyHDfiOeyRpvEq8ErRbLWKZkphd2OqV23+zdc+AMDccymFax1K\nN0okNYe1+yw+8a4XuTwa5+kbNyEziJoKVcyRxQzbzklcRVo0S+PsiQaX3QYz71vmN458hSvJBJdG\nk2wnRf526SS9oW9ceNq4GcVMxE7ZZTQ9SzSRc09hN9hdGGfn+gNjdE8mBFdc5r49RDmCjVcn+dxY\nA3JBOJsjqgnVUkR7QrJzU4Dbl4y/muK2EuytHjg2w+OTrDxo43YEc98eYO0M0L0+Os+pXFecPb1A\n/TLo7O0LHd7hYi86CQemttjxFiAxnfGKHVH3R+hyRh7vkjG/qwsQZl/5oZlzlKyIVNm8OZjmzSeP\n0nx1ROYXuVJpIAY2ygWrp6k+cx2tFP2FA2TTkpIdczRY5WiwyoP1C1yLmvy1vp1s02PsLMjlTUSx\ngKoUkKmifj5EO5KkarzB9lDhjDLsoY0dW4QNyfBwipDaJDB2+ruUF1NAIjPBFD8w9ioHnS2+Ur0X\nLY2owpcpE06Pm+srKC2Y9ToUZMxIeUTKYZ+3yQlvlWHu8YocAwXlSsi91csc924wbikkglQrIu2Q\nKYs0t/B3oHxthLYkWc0ndwXJyEH7gnQiJW3C7FyL42NrfLMXoGxjoBFCI6VCl3JSCXZoITKwtEZo\nQe4I1G7YZqMxIKla7CvvkGqbdlak3SugOy5eR+N1cjxhdPLxmI1SEpVbeAMDSnRGGjs0a2gdeFjb\nPWo3ttDTTZY/UCMaV8z6IVIoZr02s57Zu5+bK+K2JBOnU9xOgj0fENUFzlAjtMbp55SvGqmrvz5C\ntHs4WY7d97GiGjcHBm/1FJi+kKsRQY5lKQMQlaA8jcxMJhsCAjvlkUKX806LMWvA6eEiL3X3kPVc\nSrvXpvI05UJMKBWh5+JXYgpWwiDzzOpBSkYzmncfP8/jHCY9ZTwO/raRyCaNHIoZfpAQOClRkDCs\newhl4W9GyEs3wJJg24RjNs7+PtGNklkBtbuQZgjLwhkq/C0br5uD+h7ixg87AStfWqSxnqCrJXJf\nU7CM+ozUhC0Y9JRAZhbstCmuTfClaycYK444UNki05LuQU1aLBqG3dNlPAlJGTLfIn3fXpQN6dER\nD85eRwrNs739ZMoizB2W+nX8NwMKa5pgbQhhZOyUYQSei6gWyYsuo3Fv9ykiyQKb0rJg4qURQvkM\nvJxSMWL7xBhxdT/Bdoa/MSLzTcqMFbv86vZPoiU4Gaw8MkYymfBCfx83RjXOXJ9B2oqPHz3N7cVt\ntjKjLnx5tMBj7Zs4vT6HXRVknk1vp8ifL93NZvdh4q7/H09cMeWRg2e5e/waX6tPkVRdegsO/b2Q\nVnOa432i1MY+U8Rrw0rSJMktJpo9vI+28ZVBPfcHAf51F68F4aRm546kvlaTAAAgAElEQVQcd9ui\netmkzI5eqrLuVs1xRfDY/irPHVgw2neAcsbOLQ5WZFNYE/gtRVLTnGhuQhN6Mz6j1GV5o47qO4y9\nWqLxmiSa9Ojutcld06uwIsHFlQm2hkXunlriQ/WX+Xp+jPobAjtU9BZs1AHnrUy2rZMWN36ggPRz\nKuUWuRacv7MI0QKFGzbBpsYewS998ZOITOzq4aG4ZNh737Wg6imBuLmHtHN2bjWehrqS/OLqAzx+\n/QDqzTJp2YiNUj8lW6tij8znZGt1bGlqMis6/GV6J0JorAas31OGvQPuqFzj+eoCuV8w2wfXAFZw\nTA+oUojYU26z3i4z/rzE62XEDR9R3//Wue4vCo5NrnNGTTPYV8GrB/QWPJKKYDSrSScS7JFLxXp7\njDS8w8XutlLmvrCCqhRMAJ4LvthdeuQCkQuka9CtMpPkrTaFjYyl61V69YCyE+NaGf5Cn+GYT/UF\nj4lTfQYLBVrHLJSrGc5rlK+5b/Ea76+/wTP9A7zWmiVVkii1abdKTF/MKV8bYa23yeMYwgi0QgQB\nwraQrk3UMJ390kKX28bXefHpIzhfahG4TRw3Y7Lc5/zBEvGYQ+WKg8wClGeCDawIGqdbECdc/9g0\n4e0jKoWY890JlrdrBGd9lAu9gwENa0BfmSK+PGjy6vKceYKUBTIAq22znDWpvOkweyZ+qxfQ3Rdg\nH865r3yJL1bvIita9PfC3ruW8ewM30q52mkglzTVyyPSSpHtQoX7Dl3mD/Y8yqm4wC+98THSkUNl\nRVNazRjssTlxbInXL8zjvG5hxYrCtmkiBusjZC+ksNmk1WuQlhVMR3jFhFKzj9LQFw2sWJBVcm4u\nr7DgbfNQcB2Ar84b4s3fD++hvOzS2W8jHmiTpzb5xRJ2KFCrPu2Wx3q1zcGJHTIlqZ8dIbTm+veV\nSJo5/rqF2wV1eMCf3/VZHJG/1aNpWCYk4RfO/ygbr01Sug4H/npIVnTYOeajPAg2Fe5QEaxH2Cst\nNv6ree754EWOFldZdLfIteT3lt7LY+eOUn4xYOara3Rvm8Q5HlFwEi75hotfuqHwOjlZURLVJLkv\niIYFI5OtK6Ipxa0za5z0rzNWGpG7ZoSoXFCuRrg5jptR9SL2BC2eTffSeG4DMYpo37+HsCnfmlKF\nsxl31q4zSD02ZsrEVcnW3TmlqQENP6bkJiytziG+l4odNNqSdI9UGc5ItKX4t+fvZ9j18dfMV4m1\nCxJEppGlksmFSwUaWCztAPBiax/uuk04CUsfKO9G7QBakBU02jZRt2C2CROFPku9Oq3VKk7bxo5M\n3lw230TvGWc049Ofs/DbmsZLLdCauK5xpkb0t0o8f+0wpRVBPl5lOOWyr7nGzdUVllp1wkjSOyAZ\nzLv4O4LapQy3lyGGoUn29KBeHdIf+VxZmsDedijd0OQufHvpAJ00IMptMmWRacm+yW0GYy4b5Spa\nQ6M+oOzFXPWbhJOewVgrSBpmuevLhPqRFitBHVkPGaQujpWzt7hDktvc8BpoxwQe5Fc8Xi7P8vxk\nkdPhIp12Edm3ScuC4ZSNvy049+xebAEbd4LMLbyWmet29lcQuoJMNcVl470Ok4Ak0PRnIPBSsqpi\nOGthlVO6ecAbo1me7h0kzB0udsbpRR55OWftXhuhNeKVOiKDQtdcHUlVo8sZw9Tj0eFRtBZs3F00\nzcsjA6arA1btBrlnY1maZ0YHWY7GePzGAeLYQe9OAfJMopspcc8lqbrEYw7d4znaz5GnXdyhIpz0\nYXIGbcNXnz/JY2NH+W9ufpJ97ha9xEMNHaKmZuPhKUbTgilhUnvtg316My7WMx7ViyFZ6CJyh7gi\nGc6Y5b0VCqyRRSsqEmkHWypGBZPuE88nFGshUeQQDV0uDKY4f30Ke8uldZcZw3UPSNKSxu0a6awo\nZMy5LQ5VNrm0dx4rFtRmehxsbDHKXOL8H1bG7zA3HrAsNu6Go7dd5c3X91D4UoVSppGp6bSPhkZC\nKbMUOVZDOQIZC3LgvvJFIuXw2I27aLyRs/bhhP/5zi/x+1cfov/YFCqFeFwj/Bx3N7V12u3glHOu\ndhpU3nTwOhp7mKOloH24QDgpkPe0+dzJP+Z/uP5hRhenkFGGng95996LPPWFW9nzlRZZNaC/WKC3\nV/LpqRe501/iteYs5xKb225e5ofHT/Prpz9E6Ut92NhG5TmyXCItKU401vj2ziGqr7gmHujVNsq1\nWWlUeW6yTF5UCD9nYXabf7znO9SsEWOHB7iY+F4Lzc6+gFZeYqg8+rmPI3JmnTa+SPnsTX9K4UTO\nH7Xv5e8v30zJSXhX6QJVK+RqeT+5I6lcT6lchzVZ5a/m7uFKv4Fzw8MeCqKGJpyAiZdyqi+usvKh\neX76U19FacmfXrqbMHQ5NL3JYrHF1795G/v/qkNedAmnfMK6ZKfgYzcV3sQI1RRMVQe0kiLnOxOs\nvzxlLJi7Czjvtj4fvecV/uK5ezn6f3Qgy4nnaiRVm94BQb3Zpx0F/OXSnVhCM/HBZereiB+ffJ4p\nq8tvFz7AmcoMtp3zxRu3sLLUYOGL4G1F2Ns9UIqrn5hj8t0rXIsnjX98TvKT9z/BHneH3179COUV\n6O61GexRlK4Ljvx+h9GeCs//873MTHToDAo4HYtkMebQQ6soLRimLlJo/uUtX2DGbvPTF38BeXkF\nr1TEqZew5sts3y7RhRzvsuljbB4y58uxcuKagZK+99g5TpaX+YNz9xNtlClflYydS+jNw9YHYgql\nmMniCMfKuXR5Cm/NoVodccJboSxDLtw2QZzbfP/0GQ57azzRO8Jrndl/UPm9s8UuBargoV2Nb6WG\ntOGapo7ItYH87z654qqFvafJaEKS1nNKpRgLTartt3K0pdQ0rAFTxR6b45MGjF1NCYoxjjBNLKUl\nvkwpeTHrVQCB37VQriSpCeK6pmLlXEzHUQg6hwtYiQYilod1skAzWjBqOys1Y6puXqSrPNpRYFj1\nymir7V1XnCgWyPZOEtZclKe5MayhhzZ2aJZlyUSRrGARNTSqkUIm0JHF9qDId3qHsUVOpi0kmqId\nm6VqWqCTBngyo2jHKC15Jj+AFJoDhU0mnS69zGeiMiCwU14Y7udcfxIr1AhlYIRxRaAszbMriwy7\nPtUNw6aPx4SR8UYaHcUmsloay1rBS8iVZMwbMuN1DHdPmiWmFSmckcDqWQwdn0IlolqMqXgRUihy\nLd5y8iF3HV09j6e39uG0LTPFsCRp2SKuSHSQUXBTwtQmTHwzrRCaQerxdP8gnsy42m6Q9lzSgctA\nFnBaNlmgEGM+ac1DSyOE2egap+FwRpJUNc9t7+UNdxrlQn/GJvdM/LVQkIwXSaoWg9TjRjJGlhpR\nDUqQfBd9vas5Px9NsyyNXl6UiuQTVUbzRcIxA+lQIwu3b+Cm7a7P2WjWGGnGjH5hmLvcSIwzEr17\nvWcaKzXmr6He9bhLDZY2c/jM4o937mczKnNls4EQMJrw8EVqGtzeiGsObzWJ3+71Dyp2IUQN+EPg\nJlNm/CxwHvhrYBG4Bnxca93+T32Ocm3CuSII2ImKONWY9vEApy8orO3iiyxzUeycEGze4WPtGfLB\n/WdpOEOGyuVGMoZyNGnRqLLWsyonqzdwHzIXxpg7xJMZnsy4HjcpWDEFmXBHY4lTD8Bmr8T26Spu\nH3oHM8ozfTrdIr/09U8gqgkPfuoMuRasv3mIC6cWkAeHBO/a4fKpPez/XA9ll/jG9lFuVOqsXRqn\nfNXiXH2S9YkqSglUtUCyUGfn50fcNX2JG5cPcvmVOUrrEq+riGqCrds88rGUn77jCe4tXuTXL/wQ\n2282SbarfOf523B6MHY+RsY54ZRHWpB43RyvkzKc9mgdNak6pWWNHWteGJekJfDuavGvT/wVX+7c\nyucefxfelmTyWoo9Slm/z+HBe87w+KtHGP+LEpOdDP+qiVgaHhknrlq4/RTKRbSEjbSKJRSOVHhO\nSslOKFgxeUGRjAfGxhrmCAW1czZJxSO7L+ah6UsobUAhAhCZmZfHFY1yof6Sg/rCJHsGMargkzYL\nbN9sEzcUzZkue8ptzm5PMtgugoa2BpFKrq8s4gzNDamZgjvUeJ2M0bhm4y5JVlPceewqB4pbfO70\nXVSeqhAvKGa/7zrXtsfo/skco5Eme39O4UPbbJ+aZOq5nMGMxZWPOVBMSUdFvrRygqzv4AB0Hc5f\nm8YtJhyd2iBRFn/w7LuxWzbVbc3o+DTbNzs49+8wGPq4Z4p4Xaifi/G2Q4bTNT5buQfHyajftUGW\nW7yyMsupbA95z0UKY7UNxx2sRDP5lEQLD6FdlC2IHki57/bzPP3GQZ7//B3YsWYmVkQ1i2ea+7i7\neJnD/hrTbocX6/swAo//zGIH/jXwqNb6o0IIFygA/xz4D1rr/1UI8WvArwH//X/yU4QRjohY0BoW\nyFILhJG5piUQSrxFZc19TV5QlP2EkhWjECwlTZbCMaOEQpMnFlfjcQAOljZxRE7VCskRXBpN0koK\nTPh9Jpw+nsw4VN0ksFMu1MsgJfjKBBAkFm5HkgQWJ0orADypDmNFUCpGvGf8AudrM4g8xw4V19p1\nMiVxuhJnoBmGDhtZFSEgbgZEYxZHxzd4oHqep929pKlZxsrMqHjyYo5TTGg6fWrWiMBJUa7xgDt9\n8DsKb62PGEXIpEpecHC2R8idDqhp+vMBMoPCVo4d5sjMISkKOkOfokhQWmAPBG4f7DAzAo9Sxntq\nZ3mydABnaON0Y/S2mQtbcQOhTEKNVSuSexBrG4ccz85QWuDKDEfkYGmUIxDC5LYLZSCaIjcRSbGy\nGWYe3dSnF3kmmDJjV8ijcQaCwvKuDdOWZMGugaicUXQTPMv8PzLD1JexEcMU1o3e4bvkXbeb4a/0\nyQpVsqqmPDHgB5uvcru/zOeLJ7FD01mfLXRZcaoU1lPcToxQRep+yE4ucDsJYjrAmxhR8GOUxtCC\nxG4TTQMji1Q6dOKAOLewuoZ08/8w995Bkpznmefv+9Jnlu3u6q52Mz3eG3jCkABIit6Tokh5rcwq\nVuTK3K50UtxJ2rhb3W6c9i5O2tVK3JWWClHUHSTRixAFkgAJR2CAwWAw3va0r6ru8lVZab/7I1vg\n7gWDpE4XiMuIiYmJ6cmaqsov8/3e93l+j5KKUVkjLChmc33iVKIiD83fNk0ZmWim37ZJCwEL5RZB\nrNPpOaShBjJzVsauJChmfRHDV6/SclJNIc2Ew7l1nk72U7g+QCQpSc4ktiX9yKSduCRIbBGC9r2V\nsN9TLiuEKAJngN3qv/phIcRl4CGl1LoQYhp4Qil14Ludq2hOqfvmf4zuySrDSYmzleJsBLQOOoze\n0aXk+gAEsc7w6QkmXokZVjQGM99WPskQStcSrFZM64BJf0eWpnrb3ltUnR4PFS/SSxz+zeffT+Ul\nReuQJDnYp1ru8b7Zl4mUxtfrB2gMPNqLJey6hj8bM7Nrk65vM1jJQyqQEwG2E7J7fIsD+Rp/9fLt\n7PjMNk/NlVlCiZ6x6luHBdqBHrqeKfaGgUl3LY+IJHMHa9w7eZNHnrubnV/ITDORt92sKWT0kvT+\nDj+273nqYZ71UZF+bNEYevRHFuH5InYj6/Kb/ZT2Xo3CG2oAbKyXEUMt61B3wZ9UhNVoexzl02m7\n7P4kWFdrXP7leT7ypqepBQVWh0UuXpnl0O9uIXoDbv3EHgZ7o211oETMD/mRw6fIa1k5rqEoagNM\nkfAbz36A2S/o2baLTBffftuAnZUW1y/O4C1ljH59oNBHCmdzm/x6wiAYT3HWJW5NYfgpZjuDRW7c\nB5RDpifbTLk9rm5V6NdyGC2NwrWsMojcDPXkTyuiYkLxok71mS6dfTla7x8wP97mvokbTBttvtw4\nxpVahXBoItoG2lDgrQi0QGUIs5SsUtoK2TzuYr+7Rtn2X83uM7Ws53NufZrkZg59KLA3M3Vj91CE\nUQyIBiZipGGva5Suppn7riiIXUFvX4xRGhHXMzdkUE6xdvQpej53VZYYNwZESiNSGqt+idVBEaUy\n00uUSrbaOZJE8s6D5/jR8Wf4qdM/SeWPXQZVneA9bWYK3ybImlqCLhJeeWYv+37nPM90PktXNf9f\ny2V3AQ3gvwghTgAvAr8ITCml1rd/ZgOY+k7/WAjxc8DPAdi4JCvr5B0Lu+FirraIF5dwJ+7i2MwS\nh3NrRKlOPcrz+HCC3JlV3PECuTUvk7iSxQTpvQgZJRQWJVZbo73fZHM2h6tHeDJglBqUrkDxi2eR\n8TE28i4NTTGxs4snQ5iE1aDEly/fSf6WYjQleGDqBk/VdqNfKiESxeDhhP0TdYrmCD8xkXpKUDRw\nGjH5x6+ggoD4rgMMqhZmRzBY8yjvavG/H3iEF0cL/MHz78apKQonRvzS+FN8ceIoIrExejHuSgBx\niuwPQUqu3FHiF8qvMFQJ7RQMFJ4UrMU6H4l+Bl/miD1BONQY7oj58bmzGCLhhcJOan6em8kMWiix\nmgKnZjKYUxx7w3WW3TJKTKC6PWQgaEcu9xev8t6ZRf6F8xbWvB0IP8CfTtm/e51BZBLEOlO5Xkbh\nFSkn7SVcGdBLbQaphdDTLM4o86IQ5QQP777K28uv8Kunfozqsz7aMER2sxs3hk5SsJGxgRIQ52CI\nyCSqsUZsC9BTpJbx9EaJQbotidUCQW49QklBsEfPdPvVkOpUm+bmJKmpkZgC1w7JGyO2whyj1GDB\n22J6ocPjN/bh3LQQCoLxTPA0/a0R1rU6aTlHXHRQGuTMkII5Ik4lUiiO5NeZM5us9os0wxxWEypn\nhkQ5nd5Jxf5qg/bIwY90RisTlP7uMqJcpP7QNEEJjhxc5kPVF/nXp9+BedVFaZLR0MSxQh4oXOGI\nufHq+tgqZo1XQ8TYIqKXOjzd20c7cnlj8SILekjJ84ndHMMpwb8+8kUOmzV+dfEDXK5PousJhpZg\n9AXf68H9/Sx2Hbgd+LhS6jkhxP9BVrK/eiillPh7U/X/41BKfQL4BEDRnFTa3DS1e8fpLUDpisNY\n3kEGiue+eIynCkeRCwMsK0KLIKmUQJcY/ZiwZNDab2Qo4YJBqivyNyTFxQgtkGgypRvZ/P7SmxhG\nJu0DEP7cScICQEq46vFbjQ8g8xE/fvw5bs/d4ov524hdDYoRb8hnRocvLUwhY7CtiDDNPh5LRuhm\nQlCQoHSMwztRUrD0Fpt0l49uJOSMmNlCl6V4jM0oTzCeooQkSjROBZNYRlaJKAmx66D7MP1NDa3e\nId2w+b3mCZ5vLfDK8gyuF/C2nRfJaQEThQGNPQK/7mA1NORI8qlrd2EbMWPOEEeP2Hd0hfCwxsrp\nGWaeTDD6Gk/ZWRzxrJegHdlFVI24O38dT4acDvPc6I3jbAcepHbKuD3gyvVp8pcMro6Pc2nXFLYd\nMVU4jqNH5IwAU8YU8j5rDxu4yzoz3xyiRSaLvXEWvQmMjsCo9+gdGWfzeBGzA5OnhihdMppQ6LND\noqokTAThko27KYgd2Ll/gyOlDa71JmiNHIKRiQgl+gDsuk9YsujdHrNrdpNRrBPGOsken2sftSFV\niOtlzuglLkwNybsBB8bqHM6tk6aS/Gr2HoeRzHLZpSAt5/Dn8/SndZQGS8/MsSTJRF0CTk3vwi35\n+Ks58k1BlIdrP5Qp44xVybVbuwh2BFQmuwx3xqz96CF0X2G3U0SS7Zt3m3VmJ9qszjkk1YAH9l1j\nzm4zqfUYKY1H2ndzvjPNWrdAu5WhoaWmMK2IE9U1Ju0ej9Tv4j9HNvWXp9hzvYs+dPmVR38kYzkM\ntCzld1MithRTt8IsYekfudhXgBWl1HPbf/6r7cVeE0JM/1dlfP17nknXiaZLbN2RcMexG5wu7EUP\nSthbEbv+9BaqmOPWe8YZTqSUIkVYcdCGcWaaqZh098fYEz5v23WJ3U6D//DFt1N5KUQbGZgyoRvY\nLF2dQoSCwsEWu+7d4vz6NKy4uKuSqVMhgxmL4KjOPfYieiEkdl3yBZ8H7TZwjsd2HyAYmbhm9KpK\nTJcplhURFrNwwdRwiB048eAVfmvuSzzt7+HF3k5yWsBKOE4rdknGIkamTqwkLw534Voh6/sSlJew\nMN+g0csRXHBwVzdxNyR/efM2+pfKzH8jZjBl84W3HWO63GVHvsWRsXWe1PYQBjm0QBCdLeG7CnFY\nsaPQ4p/PfZWHnREH1n4W73IbZ9XB6uUyJaErGe11qU7Xud9Z5HpU5oXhburdHDujbUicmTJp93Bu\nGcx/bo3RrnEaJ11iB24VC6SmglKIYcfsqmzxnvte4c9eeh3mp5vobZeVboHl0hhmB6g16L11kne8\n+1s8vrqP4EYRGSriSsht0+uMW0NKxpDPiJOo0yaJI/iJ+Wd5o3uD/z58N8utEomvoY2yfoi2uolu\nVXn/0bP8+uST/PbGG3lydTd377zFe+44w6c37mH5kd0YA0Vnb46tkkvT67N7vI5KBLnFwfbF52Xy\nX10QFx36MzqdPeDUYe6JEG2UZIy8vx/JTpoUB9td9UPwm2/5LM04x6f+/VupnOmz+E4PrZoys7CJ\nWIDVlTF2/Z8Kq5llCezT+xwfW2V1vsThmRq/WP0qJRkyUhpbqcNjywfoXi3jrEumb2Wj4MQUjMZc\n1t/VZ7e3yd/cOoq84VA5pxCXb+IuWhxYmybOmXT2GoSFbVXns6+ASv/xT3al1IYQYlkIcUApdRl4\nE3Bh+9dPAP9m+/fPf69zpaZkNGnhruicjvaiDwWtfQJr0qJozxDmNIa7IryJIcN2EWOgo4UaesGg\nX9XwprpU8n3ONmd5MZ3HbortLwjK9pCNQQFnJZNC+rMGOSPAtiK6bkqqS2SQYPZSHt/YhxSKUmHI\n5jEdN5F88PKH6EcmQWCQJoJGM8+mzOHNBZzILxNFOsXlFN1X6MOU2JOcWZ7jj+w3UA/ybI08Knaf\nqpVRdox1E6slWK6UuOpMEiUaKhcjBCzVxkhHGvp+E7+yC7+icFJJ4may0KAk0LSUVAmkUBgiZbLQ\nZ21WI00lcSyQuiJJBeuDAv928e38bzLBWLJIyh5Rwdym7mQAxMRV7HeGXI/K/OXW3Xzt0gFE06T+\nYIFUg7HKFoZIiIoKf+8EQUl/FV+c5BKEGzM12WHK7ZMieKk9j9BTNt6SzXcHqymf7dxGQQf/dfsZ\njcPqqEScSvrTWtacNEYM48y734stVJIZbWIbVsIxLunZIMe1IvSJlLgsGQQFVLmAEvDozcP4qUkz\ndNlZbjFmDtlKcugiwZ+EuJftq+1NjUu5aT5j3A4C1h8ogCIL3tRApBmue1RNMKeGDGwPp2EiUkVQ\nkiQ2DGZT0nKIbBvYDUmqK37vysMEkY6pCYYzDjIR1BpFTDuilPMxvIjaXZlK7m5rwHJiUTW7HJtb\n5XBhA0OktFOTZ4b7WAnLWXXipshI4tZDhlMWrSMQlSMOOH2CNOP4uQPBsCJI338cPVBYrQxLlepZ\n0zNbWN8llP0fsti3j48Df77dib8B/BTZVPsRIcRPA7eAD3+vk8SOoLU3K//Ma+usfHQPs+9ZpDHI\ncWulhHBDfu3Or3DSXuKn1Y/ToQgpiFTDn034mb0voImUTzz2JgrXJGPLMSJKUTrs9RpsDApUnwuw\nan0uHikwtmfIZL5PEOrEWzm0YYizkdJ4aopPz0zwrntO87FjT/D2Jz+G+J0i2rxH8hbATLFvmWg+\nrJcL3D63SDB8I+OPL6F6fTANRM5jVJ7lK9fvJMpnyq9mxeFofo1GkGPqVErueodFd4wz+iy6nlCZ\n7LK5mcc77WQZcW9usreygdYdo9V30Ss+nfs1NC0lb4Xbiz1FlwkPTl2lOJOl2lgyYjUs89mbx2k2\nCkx9TWfsTIv5yYDeLo9RWdDbDXEx4q4jNziU3yBKNb7WO8LXnznGod/foHtyiv2/eo4HS5fYjAt0\nEgdtoc/aA1n+m7ndAypM99hVbvKR6vPcZS/zW6vv4ukz+7ErPh/82Ne50J/m6n88RPlSyMobLRZ/\nKEWzhpyrTRMGOvGxFCUUjh3RHjnUojxhrKFGGoPpLKPsW81dbARFYiWZzne5u7zIG3KX+A3vA/hP\njaP7Mfkv5HmmdDv22+r80p6vsRyNcX4wm83Aj3Xob7ks/DW4l2psbc5wZm0/csHnfT/1DRIluTao\nkCrB60o32W3VMUSMQcL/teMenkiPokzF6267yOH8OofsNWb1Fp/t3MFjywfwb5Uo/GEBGSu2jkDj\nRNZp987Z+JMm/d0pM+Md3vzR5yjrWfPtqcEB7vGu8TPl04RK0Usll6IpPnHlfvptB91KsMZ9tDCH\n8dJ11DsO88/e/Sgn7SWeGexjJSgjejpOQ7F1e8KHHvgmTzb2Uv/rHdjtlHi7Yamk4LtP1/+Bi10p\ndQa48zv81Zu+z9fJziMhcSAsm+hTY6QaNAY54kRilkcUvBEL5iYzus9cqcOV6cw/bPQlykwp6sMs\nwimXEBYlYUti2TpKZnbPINHwlMpgcYlgEFv0AotgYOIOBSJKQCnsLYXSNZYGYzTGHNK+gVZvYBRt\nEBpCz8ARQkGr5/J47zAq0EhmxpFdFzEcoQx9m2SiUGaKNBKiROPSYIr6IIfKS4JqZvYxZVZexYlE\naIqoAKmhmPSGTFlduo5NkkqiRBJEBlKmaFKhgG7oEKcaTemiCUXR8NlhNRmlBppQCD0lzAvCSY/R\nuEFQEiROhnMWscTTQyaNLptRnm5sZ0Km8TxBXmYhCzKTtjbCPHGsoZN1nYNiVhEEQ4tboszjzkHW\nojJLvTIizcAUG2GBduhk36ulvfqkSYY6g66JiLeDIQT4pk0wMrKxUyTQeplwRUaw2inixwZt3yaM\ndUwZY8mIza7HbJRCknnwlQZ5K2DGaHEtmOJyZ5JUCaaLXdaBsJDH8Ry0QGFvSnpjJsPEJFIatWGe\nKNG4YVVIEGjbJoOtwEMZCmVkN1XIhDOXmeZit0qv7yAiQexm/I+05XoAACAASURBVIGwkAFC6cpM\nFagEcZy98V1Wg5I24NHWCZaGZTolh8i7Rqg0hqnFOX+OQddG9HWUlWCZcYY0C0NkrOgnNltJjuvD\nCiuDEiIWJJbItllGl7I9ZM2DMBaE+e3xtKPx3afr3z5eU1KNNT+vZv7lL6FN+eRzPt2L44y/rOjs\nkRz5gSscKazz/sJpZvSYS5HHcjTOnyzfz/ILs0STEb9yz2PsNBv00gxQ8bvfeDvTT0ja+yVj929Q\nb+UZ/4KD1U1Yeptkcs8WjUsTlC8I3EZC/nQmIolnx4gKJuv3mYR7fXKnHOa+uMbgUIWVH45xvRG9\njTxaX2YYpR4Mqwq5t0/QdJh+QiIjRe2DAW/dd5FubNGPLK41JxhdKmVqu4U+BW9E0R7h6SG32mXa\n9TxO2eedu89jyZgL3Sq9yOb2sWVuc2/x4mCBZ+u7SLbL9ySVNLsu8cjAWDbJrcCwKkgO9XHsiLLr\nY+sRO3NNxo0Bj2/so3ZjAqMlKV2GyAPzPQ1eX72OJWNsGXFlMMnFrSpJKjLMUyqJY0maSORVl/xN\n6O6G6XvW2ex7GF8v4mym6KMUGSo2jxn4R31Uy6RwNetpDGezzDGzJTEGYLUUXi1GRgqjG6KkwK/a\nRE6mWBMZpTtrVtqC4UxWlnprCqujiC1BYoFXT8ifWiGtlLj803nKCy3+2d5v8qH8TX765ru5+Oh+\nhjti/tVDn8EUCb/+1AdxFk0KN1PytwI6u22axzJsd+FmRgaKbUiN7PyJlRlTopx6tS+BgMILNqXr\nEYklM7/9rEQ90KbgjAhjnTiRtBs5tJaRpdfmI8rlPh/f9wSJkvwvf/M+yucFwVhWucSuIinHEEms\nWrZFSg732Tu1yfKjC8z/4TmiE3u49sMG2Al63UQLILGzsAkxHrB3ukFj4NG9UkYkAn13n7H8gPCR\nKcb+5NlX19hz6mv/qNHb/3eHgNRKOTG7xhvGr/J7S28ltxrhT9pU7R47zK2MiKoU81qfWa3P3zjH\nWRJACrWowJje5/XOLcakzr+feIjIzaEENPsu0dDIGjBOdhf2QwOjJ/FqcRaMqGcBENKP0IXArpsk\nlo3RV6QFl8jTkDIj2wgnJkHHWpSULwWERYt7d9zkarFC98I02kgxXupzyFtjPSxRkwUuJxKnJohc\nmB9vcXJshUFsEaQ6q1oRYoGuJ7ytmI3OznVmaPsOGikVvYurZVRVpQSGlj1l4lBHDTWcuqB0NUBG\nJluTDv2CRjXfY9Lp8dHx57jfjkiQPLJeRnUlhp+CkPihQZDq26rCiGP5VY7lV7kyqPL4tf0kIy3T\nMCjwhgKrlyCU5HB5gwtU8TsFvJUR5q1N0mYLd/I40e0JSSQo3oxJLEHniMIe91G9HGYXnGaCszrI\nyEB+gNIkthQYrg5p9nBJHI0wL5EJGNtbBm8jwd4MUXrWNdfbAWm3B+UCohRyaLzOuN5nmCZsjTzM\nNowmJON6n3E5oFLt0IhLuGs6eneEs2XgbOhZyb0eo40S5LY+IPJ0Ik8yKgsSO7s2k0EWlVy8GeO+\ncAtKBeKJHP6Yy4HJDeadFpd7U3QDm57jkI40lJZVkXGiESqdIDWwtiT55SyQclSURDnJyM/sudoo\ne604zZ7HqZbJqwHMpkZiapjtTGSTWCoz70hFJ7CzXIJ8dl3MFntUvS5XrO848f6Ox2u82BUYKUVz\nREXvsXP/BjffM42sDqlaHUbK4NHeMXqJzd+tHqRRKyIGGkYE1qrJZ2+8nkfyirf9wAt8oPwiSZKJ\nGJyGQvxdnmJfUTrfzmARb/I4VKnxsirjLvUYTedY//AssadehTG6V6B4JXuSDd8uCYMsXaYtHdz5\nHrlKF//iJPZ6H2/F5Js39mKYMcn9fZJYQ5yt8AdPvptgIiWdCKFtkhOgj2DxmXmuO3McvPMWH6q+\nCMDzsUbRGfHl9gn6icXZm3OIpsEjl+7jL9P70YcCswPDKcVDD59ll7PJaW+ejUGBzc0pEkciI3BW\nNcKBTTCVZZptJTmW4jU+f/UY85+X+GOwca8gKUW8fmqVWauNIRKkSKmHBZb8MbqRjeeNUB7MFLrk\njIBzK/txGiFOzeGp1V0IoPtgxObtNvOPTeOdVfgTgiPT61yzJqj1yyhdUd1ZZzbX4cXmLmRgELk6\nQaHIqCzoHokQZopoGxkMcbuQjCcjDiysMoxMGqvjCF9jNKGhD11GlRQqAfaFIgv/xUUpRRpqrA8L\n/PITH8Vo6MQzIQd/cBE3sPnYkz+CELBvvsb+Yw2eTveTOOUsH34IYQlqP+4jpcL9Sp6xCz7RpGQw\nnX2exSuKsCTRHm4xV+xwTu7EPbw3UzO2spy2l544wAtWpupEU2AoRCHKtF7bmXtn+/PoMiE60Wdx\nzkHpKRgJet2geA0SW9A+GiO9CLnscOvcAghY/KndBGMpY4c2KdqZ1h3gxRf2MXZap3kH/OTJZ5FC\nsb67RCt2eXJtN8v1nUw1v//K/DV/sgtd4Wkheelz78RNzBMJFaf/amPjld4sNT9P65UJJq6Q7UfL\nYDVh6vk+sWfw7LFd3J67hUoliQVuTVG60EMORqjVDbR8DqTLXq/ByxxE1lskC3mCE0Omxrq8Y+Y8\nrhbwH1ffTn41YvNuyVfu+iP+vH03j3zmQWQIuX0Bh8ZqnJaTiGYHd7NIc8MmqAS8/eAFIiV5/unb\nqD7donm8RPuAhYzEqyq/sYvZPrN91OGwtUrTy7FeKpAqwcVulU5go9VM7M2MkOI2oszWG6VsHbXZ\n6WzxQO4yhoxZdct8oThJYklknI13lMjKcF0mDFKTRuIQrXh4X30F/f5DxO/rs2+8wUGv9upnmypJ\nP7Go+dn+NW8HGFrCnWNLTJttzlr70LohVsei1shhFgJu23+LMNXZOL+Ae9UizsHhwga6THlhl4PU\nFIfLNabtDq+UZojaOuk2OHM4H/NrD3yZqtHhk2v3s9QpvXopPDBzg9+pPsm1SPDL8sPUuzlGRZMw\nkuzfUeP90y/xu/ItYJlZDyaSdEc25Rd1pp5pcfUnSvz+w4/wh1uv56tfqiIShbc74P0Tp7m+ME59\nVMFsSby1LKjyN098mare5p+f/qeZ7NQShCWwtiC/GtFPDXaUt3jLxAXiw5LFqTG6Szm4JtFCxfgr\nmW+jP69nwRuTMWYuyvwQqUQpwZpfwNUj7pxfJp3Pvp841Xg53oHbEAQFDbcyoFrsUTs3x8TZiPrt\nBvpdLXbmBtwzvsi02eEdufO4Au4/899RuhbROqbz3txlxjSLRC1yK4752tJ+xIaF2f/+OvHwGi92\n6QucyxbNfS479BZ/FzvcbIzRzLmUDB8/MTi1vIOwY1G+BYVbIbU7Ldw7Nmk2CthbWbnT6Tn87dZR\nkkgSFaBVFjSPFdD8IoWbk9lruSOu9CdfzRuzGwHOix61KYe18VUOeWvEnmI0poNIOT2a41RzJ4Wb\nmSx105jkm2MTyGnF1Y/vApFhfqO+wcqwhBQpQRl6ewsoDdwNgV8B/44hcd/AeULDaqesNQs8NTjA\nM63dXK1VyLkjTlbWkELRbQiKNxOMQYoMU8R2c1EksBEUWbPKRKmORorKxfSrJqMJCPf5mHaMY0Ss\n+0W+EJxECkVailn72ROERQi7DqcH85zq7EHEAmPSp1LsZ1sUoRiEJpuNPFJPecPkNQ5aa0yerHFd\nToECY0snCiXhVNYwSyxBWnBQUtGOXDYGBWTNQibw9c5h0BXCSpDzPlHdzsgwgaSX2shYcak2SVjL\nJg6TpT6bQY4/7e5jPSxlPolYY36yxZg94GC+xpjeR2pJVvbHSdasSgWtOyO6+0pUj9TZSFyu9yfI\nrSXog4SXX9zD+Zlp5MUclWspQQEGs4KolPCV5pEscXVLofUC/EoO/USbzkYOLTSIbcFLi/Nc2aow\nuFnEbkjyPbC6KUpkGYSpCZGnSByFtWGgLRqEMwkz+xoMQ4OXLuwCBTv31NlXbBCkGnGqkasMqN1V\nJHEUxyt1ZpwuN/ZPktgmsafwN/L0owLL/VniQsroQZ03ehcp72yx8sZx7GqPLw/2shSO89fXT+IP\nTdKRBl76Kqb7+zle4/inhKlTAVtv9thlpLQjh3TVZbNgcd6qMghNxGWPYkMwfs7HuLRC8sA+PnH0\nUzzaO86frT6MMRBELYtTyU7UKNMdl3a1+O1DX2QtKvMHV97AcGDjugHXmhPoQ0BKjNUmc18eMthT\nZumeMrflbpHmY4aTJoiEp7r7ubI2xb4zLcT6FrkbFaKyzfLPxzx27x/wP6y+g1N/exTQWO4WsY2Y\noJLSRMOtKQqLMcMpjf/pjs/z4mCBp564B7vuk9Y8vr55gKu1CsmSR2tKZ8/OBrpMaC6nFF9Yy5jx\nnglCvBo/vDIsccOaJFA6ukxxSz6DHQbanj6/d9tfMkpN/nT9Pjb6eRr1AqJrUFpo856feoUXWzu4\neGYnZkMy+40hxkaH+oNVagc84krI/EyTwcjEXrRIdYU8rjhhdvlPBz9FY7/L7yy+k43P7STyNIKD\nOgVjlGXEFTN23Wbo0ejm8FYyzb7TzExMS+/Qufv4Vb4V7UK7aqONBJtRnn5iE9/KUVwUtC2Lsek6\nNT/PJ1v3EsQag56N0BRvrl7iXfmXCZGMlJEFacYxItIypkEq+fjrvs5782fZSFwWowrXmxPMXmpB\nfYt5uZug7FK83EFcWWLwpkO070rQrYTnlhYIhwY71hJEu4c/Nca/O/o5/qp6J88MDqMPwTnvIAKH\nuWsxznqfxDOyvX1OY1CS2WdQSFFWSvmCYPylLitvLXLnfUucauzAeFrD8FNqE3nuqSziJwZ+YnJi\nao3+2BY5I+Dh8iVK2pDomGRxYZwrt6q4V01yK4rxR6+gZip8bs8Jdu9u8OGFl1idLtGOHD5bu43z\nN2fY+8kUbRBx83028c4RiWl93+vvtU2ESVKMbkhr5LCZJBSMEWklxHFDytYQXaZs5bJwu8Gshadm\nkSH8xo0P0Bo5RKWUqCBwpwaUPR+/qBNEBhVvwDl/nk7iML5t/O/0XPojPYuMumuOVMvGGMMpyZQW\nMUwt8hMDunt0pBtzZmuWpK8TTHqYpk4wbhN7GtGmwW+svItnb+yisJkhhCfcITNeh9aci5+z0UKT\n3FoGLdyIi7QjN3N5mRrKUOSMgDjSsJsC3zS5Opyk5uezZpGUhOMu/qSBSDI6bWrCpdokDd/LmjKp\nIBiZJMUEEsFf1F9HN7J55focoq+hjyQihnY9z5fkEVrNHN6qxGpvO7A8m1FFoOaGlLwRY/aQKJXU\nKh5KyzLkO6nialThWlClMcjspfoIrl2Z5pqRklMwmDGICimOFqFp6avmpCwRB4QbsS9XZ2mqzNrB\nCspNeGFrB0kqQWRhE9LJkFm90KI7sEkSSRpqCD3l5nCCM+Y8rwzmuNitMuzaNB9aILYFcmbIfKlN\nURuSIHhmuI/PrZygW89ROCjRdhbp7dCJPIEx9PCSefrTGuXxDIPTbubA1+jNaaTGPHEu4fnBHvqR\nRToREXZ17IaG2VNEriSd97594aos1EQkAmWmaIWQ0YTLcGf2M48tHmDYdhi3QGmSwDc435nGlDG2\nFnOrV2ZtbQyhp9Rm84zbA8bMIUdLayw1y6SmSWqAMAyIEtavVPhf07dwaKzGPreOFIpRYiCkQhvG\nyEEAKp85Wr/fITuvNUo6jNBXt9hsTPO0v8Bep84PHx9giARXC6iHBdYXCgzHbPwZHW3oULimkL+S\nRz9YpPyjTY5X1nlz+QJ7jEydK0XKFzq388kL92CaCffP3UArKb5y/STFG5LunhT//jaeGVJ1+pgy\nYcLqsxKW+Sf7nqV0cMif3LqfjdNVrFBQvxNQFokFSKh8S1F7ZBd7ohQZdtk6lufNUxd5b/4sy5UC\nW0mOX0s+zPgF0H34auMQ9UEOdEFUNKAQsdvd5LnhHsYvxvTbGk9W9pBGkrlYkXoOW0csOkditEFm\nm5UR2E/mGSb5zKmVgjqmmDq4SW2jxCt/eRizo9h7dYQMAjr7vSzs4qqO3S5THCRYa02QMJrOMZy2\n4O4Of3D8ETbiIjeDSfp5i9VCM2MA6H3Oh5N8cv1+Xl6ag02LvACrqTj4Rxlqe/WtE9RfpyjvbDFt\ndcjZAQMjG1+F+cwFOD3V5oPFF3lP4SVG+3U+07qTLz16D/pAkFZThntDZiodJq0+a/0iUd3Z5qYr\n0DSeXtrFK1vTdE5PUH0+wTmh8/CvPsUeu05JG2Js8wovhRX+6Ozrmf20yXhVY/2DIzxvlCW9KMHK\nngJWrUS43+fnd7/Apf4037hyFH0oGDw0oDzeJtfL8emzd5Er+Dx48AoXm1PIZybILY9Yv89lsJBg\n1TRyy9m2rnRlSFQ06bwu4eBMjSuywspOB2cFxv/Mo+BIuruyGG/ZMLnQ2YE+MWJmvEPt/CQH/qIP\nQrB1dI6NiuDE+y7wG3NfpRYUeHb1IKOhJJmrIAcBB/64S+J6fOOf7uft951lTO9T1H1ecWcQQYQY\nZntTTU++raL7Po7X9sn+9861tsHj7UNMWj3mzNa2jTJlqGUIH6GnbLsN0UKQzR7GMI/SE4qGT1Vv\nM6X5rCUuG3GZG4MJ4rpD5KQMqhaWjNF7AnsrZTAj0GRKzgw4mK9hiIRg2+AyY7RYMDaRQmG2sxdM\nHDJ2fZIls9itBPNGA5V3t7PfIUgNhqlOomQmzlACEafIADaHHoORiWNA7EhUqFjyx7LxjJ2ZMZKu\niUgEoSfQqx6puY2gTrcjncMs8VYPtnPHUxCJZMwZUlMlnEaK1UnR+iEiSTCGinjbUqoFKZqfIAc+\nSpMIlcu2BwpSJJ3EY8kfQ5cJ824LQyRcH01yyZ/m6lYFtWWh+5lBRRtlYQeE2wEMdoImFf3Ewg+N\nLEs+ZHtmLRg3A0oyxhYCV6ScspvIOPPyKy/GK2dOuBv9cbrbsUdKZsETf+/HjhOJ2RO4Sz2MvWUO\nOmsctNbZiItZRnziMEwt0kii9Ox1C/khk7k+QaITJRo9JyFxJELA8miM1WERfSDRRhClAl2kRJGG\n6uuMTOPb12eiEEmGR1NuTJyTWRiEITEGJrErUSOoD3LoeooqB6R1F7MTo6RBVFDE21mBMshGqJYW\nZ+fTJaTb36kv6EcWvVRm1KFCTNg3GE3YmKaG3uih+yHKH6cZ51iPSiz5Y4SBjjIVyjTQh4Jh20If\nff/d+NdUVFPIz6q7bv8FooJO7EjWHoKfeP2TFPUhVb3DcjTGf3rlAeK6w+QpKJ3v4c95dBZ0gjFQ\nR3pMFAb80PyLHLDW+NgLH8V9JofZVXgbMf64Ru0NCcJKmf2CTuHUKtH8OMMZm+ZBjdvfcYEFd4u9\ndo28HJGXPraM+NlTP071UzZhXtI6KBCpYPKFOCOqDkOEH9C5o8raG0B5CV7ZR5Mpg6FFMtIpvWBS\nfbpF90CRtYe22eMrOvqIV29afjVF3zEgaNvkL2d2z/7ebAxTfMam8tKAYMxiUM3SZf/ed20MUmSi\nWH4LfPje5/mr87ex41MZJ727wyAxBfm1GGsrYuuoTftoir2mMffEEK0fZGNIQ7L++jy9AxF6S8ep\nCwbzKf/j2z6DLSJ+8zMfYfysIrEyeIhfEfh7A0gERsPIUmvcLKlVuQlmLkRd99j9mR6pobHyZg9/\nNua9d53mFyeeQNt+z08MF/ifz7yDJNZ436GXOeEt8VvPvpfxp00GswJ1pIdrh6+O/ibMAZaMePRz\nr2PhE9fovGEX2s/UGbOHrPaKBLH2atVazffYV2hQD3JcqFeJY5ltLYDgRgFvJZtVa0G2NTIHKSKF\n2BKkhmBYFfiVTEyjnATZ15h8AcxuyuYxHX8mQY6FzFVaaNtIqkbfQ//bEvnVhOU3S46eXOSVS/NM\nPall28N3LDPtdvjWrQWijsXuPTXeN/0yF4fTPLu2wHBkErYtSAXmWKYY3VPe5I7iLZ5r7eL0mT0Y\nXYm3kt1om8cUzkKPQc0jd1NH88kEToHCakbogwhtbYt4de3VNfb/G1FNqkuCMYPctQ5stmjt20s3\ntrFlRt5PlSSJJVogcOsRXLiGnDrOYFZlUMZQp+PbdBKHXpo19yZPDZBhjOwHaEGBZssisRVWMyRt\nbKKHIcUNlzA3ne3PlMAWme9dEympksShhtmOSHUzC3xQYDWDLEDCtlCmwagoKe7MzBrtej7LAetL\nzBCcZorwQ/Rhit7Lst5iT5GagtyKwm6mjCYl9++4yfPGDsxTRZSAfLXH4UqNq08eQJ65grtnJ2G+\nnD0JtleMkmyHGSjy2gghsvheJWE0kT2B86tgNIcklkNpvk1blYg9HRlmcVciSXA3UhLTwN7KsNGp\noZOXIzwZkL8JY08uEy5kpN1gTOAWRmhaiu9ahLFEDXRkIMHXCEObXFOgNTpIzyH2XIxiQE4LGG2n\n20Tb9eVkqQ/AfflrnLTWYKRRvjwidh0MN6Di9TmQr5HTAyb0PpaM+JKpIIwwBtk0o2U79LfcLFtA\nywI7T0yt8u9mnuJxP8evbPwgoW8g9ezBpftZKIXdTMkt9kFKooKJEuAMYmQYo2SBoAwyEShfRx8J\nUv3buDMRC/I5n7dPn6eoDZkxWjzZO8AzW3eTO7OGft88U3aP825M7OhEOThSWmfB3uRle5aob1I0\nfXZbNaaMNke8VVaDMn9z6wiDoUU4MNlsW8zmO/yAdwFXhlyanWKYtxkmJvowq4gGdQ9nVadwMyMi\nB0VBHAoKZ5rENxb57hkw/+3xmi72qJyy/J6U6cfKlM4qzA58/vJxDCPBscJMvhlL0nzCxj0m1t47\niD3QQoVIJUlk0fd0egs2eekzd2yDa3o1u4OPCiSOwtzZI2dG3PgnHuojxylc1Km8PCIoCnSZsB4U\neWz1IGGs8c6d53lT4TyV8R61uyaJCiAP9DCNmBt7bZLRDgrnTMqXo4xScrOEEmAMs4aUc6DNQrnF\nJX0XZneMzm4da18HQ0vodh2iSCOYB4SiWm0zYfWZyA1YnyshEoiGFpc3J0lyguT2AwzmHDq7JfoQ\nxi5HiDilecgiGAN7DT79yBuxY9g6mpXO/mSagRw1kZXaJuwpNTnbcwmKJmHBpX6nJCrHWDWB2YbY\nE7T36fiTKcvRGKmSpIYgnSjSW7Dp7M56BvpTRQAcmQUb+AdHTC50qF+uMHZGEuXh8sfmULpCJAq1\n7vAZ4wRnJuZY6xZobeXwiiN+cM9L5LURX24e58+Ce6nsaLH8cZtSrs7+cp1RYvDN9b0AfHThBe6y\nbsD+AVvvOohfEUQ9iDoWues6+gBiL/v/vDwxy8VqSj3Ok3MCgpGBd8rBraWZDNaAzm6NjXvzKB1S\nM0Uogd4x0f1suyQjRTCZcOTgMt3AZt2uYvQlo70BU1Nt7qos8YB3mdW4zFc7R1gcjFO/S9LdtYO4\nkPD08i60ZZvcWow20vn887eDnWCumOR6gpftOR51TuAnBq3QYX1QYHi5hDEQpBMJKpew3C3yH+pv\n5GqnwnAlh4gFwXRMoKcYGya56zp+NaX3I116Wx7jzxo4rWxr9Q89XtPFPuN1+Lm7v8GfXf0Bcrcc\nzJ7CuOKS6oqeDspQUIwRbkx8OEDpKaMtB2dFRwagDwVRKAhSnYIc8cPzz3N1YopBYrEZZJ1RW8vg\niB88copjZpcHx38ef80l9jKfcStwaV0aw+hLzpZmeSh/kYVik+f2j6EVQl4/v8gOp8mHiy8wpaU8\nkP95+v2MX++uZqIZtQ0KfGD2Jr9QeZwfbPws/Wt5htOK+2eWcLSIc/Y0o1jnxMQae91vW/0rTp/F\nqRgRCtRIpxO5ODZ0dzsMqhJ/NsFqaFibPiKMGb3eItrtU3zapvq1Gr2jFdYeFKR2JulVkURJDRHF\nJAbsyW2ymB8jzNkkNrzuwfN8aOIFfumZj+DUbcI8BBMpajykHhboJxapAXHRYlCVjHYFONcspr6V\nMc+ikkVY0IhPxrxl5hJ/fqHCxMt9Nu7N85NvfRyAP3n8IZwNSRjlOV93cVZ1pq+nNA+bvPnkOeb1\nIX+xeCebKyXeecfL/Hb161yLbJ4c7udSf5rNjQLEkmRBcMAIuGNumefuOJBJm4ca+kBQvJFgNyNG\n4wahJ2ns8rgeVWgmOfJWQFN6VM6MMF68SnTnPtp7LYYzKW994Ax5fYRGSpDqnGvPsDl0aa4VsVcN\ntELIr+/4GxpJgV9rfwC/bbF/vsbrJm5yt3edE2bISPV5pTVDd2RROrxFqmCwlWe0mqOwLrA3hhhd\nk8S2SSwdq5WiBymjcZuzlRlGsc4wMBl0bMqLYPZStlxJUoro9R2eCRcYdhycmoYywNjdYSrfZ2l1\njvxSSn9/wl/d9p/54+b9fP2pe7MeQfDdQRXf6XhNF/tav8QffushxpqKOG9kQhUfzFBgdBVKFwyn\nTBI7g/2lCpxAoAWZ4yl2MsXtFy8c46veAQZNB62jk9oKvBiVCERfB6m4eHCKE2MZPHLzhCQqJFze\nzFxSSS4ltRRXaxX+1ejdrNdLGE2NSBjoImWUGvzb9bfSDR2CLQcz/20GXmzDaDoGO+F0Y45/2f8g\nozUPlwxSeCy3yig1eGzrIHHP4KoR4WghjhZR1LY5ZwqQUBrvU3J9bqkJwpJJaqQoqYjyKev3FzI1\n3pEud1TXuXDuACKK0YcJRsckjskEFZqis6CRGDOMppKMbZZomKFCC+HJlw/ywsQOnEs23kaC0ZMY\nA0lfmZSNAWUjgzuIKKsSdCvJnnqjrEBMLEnkZPthiSK/t831D5ZJvIRPXbqLKNDJ38zGfKMpRWGm\nR7BZwlsPiC2bj5/7KEVnxNZiGbMteezGAbqxlVUUSnCjM457w0RGcOHkDI38WfqxlUEq9YyiE+mC\n1n4Nfajh1VK8Wkx70+Bb/T10Y5sg1hHAaMLA2DmLDFPyyzGJYfCodwx3fMiH977EpNnlVLyTXt/B\n3NTJrSiaZZvzwRzD1CRNJCSCK9emuXKzylfnDnBh7mVWQ8N64AAAIABJREFUgzKjWEcpwTDUiSIN\nY8Ukt5w19baOF7ZHkFmPwOqkGIOY0mWLxnCaYDyhtNAmdCJix0KGYG8K4qGdmYJS8JJM2qsERC+U\nWdHKlG4onEaEsWnylf5h6kGezn4ICzaza0VoNP5B6+81Xex2LeXAHw4ZVV1GY/o2JVThNlKKL66D\nlPSPTBLmJWYv6yoHZR1/QhI7grSUqcsmv2zh1iXWWgfqW6S7Ztg8mUcfKcrnsqCAtYdn+eLOacz5\nAXc8fIlr7Qm2ro6jBFjTA0wzJjhXYrTsUdpeyH2pY8iEQWzxrSeOkFsCtyQIxhQyym46cU5xz/Fr\nFA2frz5zAn9RUgwBkfUV3pV/havROCy/kcKaYMkewzVCppwethMRpxoizVJd75+5yb2Fa1ybnKIW\nFnh5a4a1xQnSSsjEyU2mnB4/Xf0mh40OD0z9C9TAx+yEOP83c28abNl1nuc9a+15n/nce+489O3u\n241uNIiRGAhwAAhSpAmKIkVJoSzJFUkVySWXZVlJKZZLtuVUJbYTuxzZlhzFEk2JkSVaokRSIikS\nJEiIJEAA3QAajZ6H23cezjztea/8WJeQU+U4IiuF8v7Tf7rOueecvdb+1ve97/Pu28RlybgskH7G\n6K6Q4Z2CxlSfILOIIpNKqFHLy5+RIDyc5gBjEKIci8y3QBVYPAwu/CRgjBNyQ9N0x5aHHEdgGiQF\nSVwWWKaWZf7q6c/y1nv3+eXt93PhN8/g72e4+5oWe/CIy48cPcfHrz6BdX6Nxu0S/cEsgSeYcHTp\nnDSLnH3lDNHEYcOy6XH0+QgjTDn36AJrk1W6oYdMBJmpMMsxppXhLMUkmUH6JxVql3YpHlngq1ur\nWEZOkkmEzBksGChZpXRjgHd5He/2BNWbVdqnKvgnI+5yN/id6CHSlkt9DSZe7pN6FZ7rHUOiyFKJ\nSCSN5wWV62MO7pvhNx6sYloZnhejgGDooAKT2dcUtW+s03lsiZ33pojAoHLRwBnmeHsBxkGPqasp\njTih855jWCdjbDOjVypixILKmoammoMYozMiqxXoHysgU0X17B75QQtZ8MGxKR9b4Pc37sc1Uxbf\nusVev0R8voxx5btbf29y/BMgBGHVIJyQb3SqM1ugLP2nfEdYEkxotHFuaJN+bh12tg/DBpSAtOZj\nOBbBjK993KEgmC1gRDn2QFHYkgyNAhesGcZjR0P5gXhsk0Qm0tQiGTh8PS8nyQ0smZFUMoIpk6So\nyAoZdsfAbQqUEJxbX8RxE8g1AcUaaAGKiAXXkgmuhHPYPYHTU/QjgyQ3uNpt8Or+HIOhhzGSZG6O\nFDmuSIhyk3bs0xn6WG0dYLFu1emWXA4my2D1yP2cfGGKzDNxerke3VVN0lTgNgLqpRETnjZQmGZO\nXJIIpSmwIoesYOlAhrJFVNMNpWf7J5EozLGW6eYWVP2AXrVCsFIjNwWDJR2yULFSWkmBQe7p9xA5\nqSuIy5KkqJFPTm1IxRyTNmKCB48hMj0KlIkgdQXK0ONMGQuUIQlKLkYgGc4bGInFoGvymzvvZLdT\nIjch9zLq5TGOqaXBSWZwMFfFPzNDMCNY8scIoQhTizjV4SEyVSjLQJRLxFNFBosmURWujmYYZi6d\n3TL+toE1zMEQyERxratx5HRsnI7EGmfIKNXl+KZDbiv6BQekAvMvx4QqTjCjHDE2Dj3vAJJwysW2\nDgfgCuKioDfQx8yklAMSayAxxxIZm0jfIXc0lyGzBeHKBMZ0BdEdIwZjRArD0CF3BEU7RgiFEt+F\nmubwelMXe+ZIBkeLHNwP7nKPccvHapkoQ+Iv1ZBprhdkpmg+EfPjd3+bz90+Q/hq/Y1oXZHBeFqS\nFGxG8w7RVIrwMorVAXEmuX2vhxhaLDyT0Xj2gGS2ynimjDFl0Dutn07uNQcjgdHpiMn7WowTi1Fo\nM+EkDFKHghHz0YdfxBIZB3GJXuLy0svHmXg6wQhSxJcysqLDzQ9D5dE9muen8F5TuAcG/+vN97Hf\nL1K/kuHvhHRO+wSJRfPFaZa/GFAuW/SOCsJJg0HqkiE4217i2sY07g2H+RdiRKbIHYugPsEnf+ph\n5pY61Oe7bLx/ksK2YuKlDsoy8NolggmDmR9u8U9WPs25cIkXBkepFcfs31HCHBtYI81tF0r/1MNF\nRe1Ui3Tk8pUv3ovdF0zdiBBpTlLOeff0FV6yQ171F5FOyiNHrzLpDLnan+LFgyUGqUs38xmkDr1T\nGT0JKyd3OFpqcaKwy4Qx5GcfeJbrp6f4xvpRJv+Dj7sf4cYZIlckZUcrE9sSp20R1SH+aBvXTih9\naZrW76/g3GUxPBVTb/T52JGXNJknqjHMHLb/2pDekx7vqezyROUS3cznUjDHa9Yc+8MK/rYGVA4X\nZ2jeI3noidfpxx5Pv34Ko2Oy9LWcwuVdslqBaMLFiGD/5WlkAlNXFE4vxRqm5LZJ5caYyg0OU2YM\n4qrJ5nskdmNM6hURjo17EFN/xSOuCIYrGcpSDJdNZGyS1HNkNSbrZ7jndQPZP9Wl4MQ0vSmSooUR\nmxiRS27opmtSEnS+P2GyMiT6o2mmv7COESsGfY/QsYg8kyCwkdl/OZ75P3d9F/qb/z8u3cXOfc1U\nM4uJpm0432Gwi+/8N1w/5l7/NnPlPmnpcJTl5mR+TlLST+RoKqU232NickDBiSm4McX6GDFxmHba\n7WMOIj2rTpQWcAgdtSNjEGbOpDekYMeYhjaIjFObILNwZErNGmHJTHuPc01/kWGK0exjtgJyN2e1\nekBayUgKukztjD3CsY1M/zJAIUpNrKHA2mrjtMI3PuNBWOR6OMNWr4JsWdhdsAYJ1jDB6qeaEx9q\n1HDVCwnmMi05HY6Rg7F+jwyS3CBRkkxJTJFhyRxl6RlyZvNGZZSbkBUyVqotXCfB3xWUNnJklJHb\nJiIX7MclTJlRnRwyNdFn3usyZQ1wDd39bUUFXh/NszsqA6AMxazfZ8VrkuQmN6MpfBnzrupllifa\n+oluSWScIUcRMtE3qUz02VYmcGpyj4embiNj8Db6GCEYbkrVC1m2m8xbHW30UZIFv8s9tU1O+9s0\njD51Y0jFCChaEZkrSH2LsG4wmjGIJzJOFPaZcEaIsYHVlxhRjkgzlClJfYPc1F4EmQjMUKfc5Lau\ngESmMHe7WLs9rPYYu5dCpqnmuQEcVqPm4Sxf2bluLk8mxDMpztSYhUYHWUqQia5oAAyhk4aTokZx\nx0VBUhIkZQ27WJ0+4G1Tt4hLQguipECaOaapRU3yPw9y/v+83tQnuxGmlK8P2XuwqFVrTsK4ZMKB\njbc5gCQlXa2T2YL0aolfDH6Iem3EOx5+HVumeIbGO1/szNAPHd4ysc/d5U0+u3UXrW/PkFuK/Ij2\nLQ/mTYwHjrL7oIV7f5tRYCOaHuQwWsx0Pd+1Odc7htWW+HuCQR0Gd7kIoTj3+incFphjhRko6p5g\n/wGPzPaIKxXSYs4H7n+FH574NiuPtHh+dYUcDfrPcknnpMtouoDIoLlexbOg9egcwZRk9ECAEIpr\n3zzC7d4K5ds5s1shScWiu+oTVwT9YzmqlHLCivlS9wwPTazxvne9zq97jzP/OYEquGw/JmAqZPit\nBX7ys3+HwX0hP3nvt0hzSXFNYg/0BoeCwm6K2wzZi0pcmJol3Clw7NUxVidguFohPOZRvwDfvvAA\n/SMC/61NRpHNf3z2YUQOjz58kb93/Av8sxvv48pfrOAeCFYuRChD8Pr507xaPA3o41A4lWMvD4lC\nC3m3oLfiMvdNsDcDBssOnVMCd19QvxwTly1OFvd4oHCTz9x1H0pO0DuVcmK6yanqLqv2PrtpiS9s\nnKLTLiKtHClzVhptBtPuG7bdKWfI+gf22X3CYarcZMXvc707yW996x365vMywiMpa0cViAmMXQdv\nTzBcznj8wdfZC0vcECu4LYPhoiKtp9RfKjLzZy3yiTLtu2t6o00OJ0Q2REcmGM7b9I5JTZSJJUrC\n3SfWOVPZ5pXuAmvtOpadEp0JyAYWhc9XSUcK+5hkvJBhDiVWXxDM5Nx333UmnBFpbnB7XEcmgBSM\nZwU/85a/oCRDepnPy/1FdovH+KtbYPT15p7Z0xSjNUDGJXKlCarC1ju96A0hTVFygswSuC1BEnuM\n74p5qv4qBRkh0WGN03afTupzh7fDHc4OfybOUNxUpJ6gPy8xnZSkDOOGSXQs5O+dfJqnO6f5xsEp\n3Ryrxxhmjtp2sTs6oaS8HjOcszhYsSEXzL+WUbrWR4xCRBAxumeereMmaSWjvtBlujjkqdorPGDH\nNCov8kjhOpejWb7WPEnfdunVdawVSmH1DZShQwaDKcXx2X0GsUP0jEftaoC90SHf3UfcvUpn1SJs\nKKZPHNDwR6S5ZG1Y5wdm1vmR0g0+NX0/CEHumNiLI1anDtj++grTX9nmRn2O4gMhCg1dsAe5luhK\ncPfHyNu7+Cur9IYOVk9ib3VQ/QHJ3TWCKcHk+Rjv3G2Mdx8jfECQJCalm9rP7bwt4/v8Hv9TalK9\nAoW9GOeVWwBMt+fICoey0xw6J1w6skju5KiZiLRkkrkGItXs/XguwggczHGGjC0mrQFHzTalmQGj\nXhVnMmCu0GPe6VCVKQcip9MuYuw45I4iNRXbTpmtak0zCZWgYEb88NI5fBlxxG4yY/T5B+mHGK81\ntMT5REChFPLQ7DrH/X1+99qDRFEZsxHy441vsZZM8o8bS4CBWB5z5+w+N2+vQJahbJNgSpAU0GlB\ngSQ3BVHNIqxJonoOhxJrlQlOl3f4/so5tsIqV8JpbCdhqtJlM6tRvxhjb3UYzc0TlVLS3ELGAlGP\n+Jtzz1CVAb/bfhtb4woiA4R+36eKr+GKnGtJjV7qsWWvftfL701d7OGcy6VfnEEkio3zs9htSbWl\nKO6mqCSBSondhw2SxUgrtkJJ3nf5n6+8D4A8lwihqPkBnpkwSh3WowkO+kV8oZldS7Ntyk7I5tcL\n1C72ad1dopcVqNtjKkvaATVf6WGKnFdHS6ihxIjB3ewj0hKjq45O+lyA8WSV6s0E92aLxJdaxVdI\naRRGTLpD1pMJXhAJlkipG0NWnV2iusWLcplLvUnclqL9cMKplW0ur88grrq4LcHW55dRBsRHFd2T\nDkYwixHNYUToYISmoH1uigMbjSFyMma9Po96N1iutLn+gRMoA8J+zOVsiuStKe27pqkst9mPy1Sc\nkMtvBSMwdF6Z4nA8VCapp9QnBrSDKvFCHRmVObgf/GMdmtSYHcxhBjnqSxOYPowWFFlR9zqeDkrY\nZkprFYYLNs6xkyihIRDKgMbLKcWL+3ByFntBj/SiwELkh+hjx6a4m5Gfd8hs2HzCI5xNKciIXu5w\nurHHRTSn/0Jzlr2gxDhzuDaawr3q4u8qRgt6cZW9kCfKF0mUyUZSJ8otwtyil3n82sXHSa6X9Dhs\nMicr5DTqQ1wz5SuXT/KV/hmKawZTNzPaQYFfm383rpFSWeoxnrJJWi5XNo4weTNHjQMyz2KwmmKW\nYx1gYuRECybjQ9CkoQRCKOShXPdTF+/n97MHEE0bpy0JJ3J6KzkqNDCCCNUfMHk+xm3ajOYEwWJK\nuRSym1ZpiSK7YVlPJDIFQiBjeC2e5Wo4y2+99BjWrsXRtT7fbTH/pi7209U9fuepf8lTn/95pp4z\nKG5HOLfbiChBRRF5eYrG/Xv8xPLzfHL9ITa2JhB9i9H6pGaPJ/rsuXYioFod0Q091qw6Yc/BRzc4\nHmqsMWkN+KP+EdTLl3He+xCDzKVmjnn7/A0skXHU0/PJS7vTZAcmRqRgcxc3iKhXZogqks4pSCsZ\nRmTh7Dra1OIn+IWIWb/PpD1kJ67SSQuc8TY4bTUpiYRGccAgc7nRP4HfzPHm2vyro5/iF+RHubp2\nFH9DMf3FdVSlyLW/7/Ghk+ffSJ39vcsP4DxdwOkryrc16WawYBKXTS7OTLM1WeZEcZ/X3zFLFFjI\npk3WN3nvo6/y3zW+ztnwCC/2V6g7Y87cs0acGewPi2S55J0L13micokr4Swv9xd5eewymvMRymH5\n7m1+fvlpfr79owy2PPy9hLk/Wic5OsOtn4O753eQIuervdO4Zkp6LCSXOcJJMWRO1Y2IU5P4ep1s\nYxuY5c6ZHYaJw7WtKW3CsQTKMfE3x7gHJvsPeEy+e5ulUhtXJHR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eVpQNQXrS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asi58bpHC3ywfc+wU83nuLj8x/k/MUpTk+v86uzf8KvbD/Ic9+8FTuQtGsJt04ssxmW2Qt8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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SUu-djsMkw9r",
        "colab_type": "text"
      },
      "source": [
        "Notice you can put the transformations within `transforms.Compose(...)`. You can use the built in transformations offered by PyTorch or you can build your own and compose as you wish. In fact, you can place as many transformation as you wish in there. Let's try another composition of transformations: rotate + vertical flip. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "48fDFFjhk9lO",
        "colab_type": "code",
        "outputId": "742780e8-3cd4-4698-d8e0-0e0cbb9e5355",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        }
      },
      "source": [
        "## dummy transform \n",
        "dummy2_transform = transforms.Compose(\n",
        "    [transforms.RandomRotation(45, fill=(0,)), transforms.RandomVerticalFlip()])\n",
        "\n",
        "dummy2_result = dummy2_transform(image)\n",
        "\n",
        "plt.imshow(dummy2_result)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f2ff112a358>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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hYvU5Nz7O1iDP2k6JX/38L6IiQee9AqNqBKMpxk5weh7OVZCNLuV5jdvyedQ+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\nLSqzERU5354gSEz6gUMUWngxyCBBRDFpGOK2Uz6xeYokk7j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SZSuNndqJ0zhpx5lMJs4k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Tnde3OkzJmpdfmTtfu4uNFA5AJ3C3Z9vUtuK1r/Iua39n6RU9EMZwbTrEUlLoUNtnsB2eslVCiY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YoXZyfILIo3iJOuZ/Sd/SIh/+Bx8s8XNG87EA3nOPmRPFdsXcC+bZHGAZMthVXuKB1jISzw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\nLhP0nb2PPi4T9J29jz4uE/xfK0KM7Wr/bLsAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tkMitRallkW4",
        "colab_type": "text"
      },
      "source": [
        "That's pretty cool right! Keep trying other transform methods. On the topic of exploring our data further, let's take a look at our images dataset. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HMUTV8ooxAbB",
        "colab_type": "text"
      },
      "source": [
        "## Exploring the Data\n",
        "As a practioner and researcher, I am always spend a bit of time and effort exploring and understanding my datasets. It's fun and this is a good practise to ensure that everything is in order.\n",
        "\n",
        "Let's check what the train and test dataset contain. I will use matplotlib to print out some of the images from our dataset. With a bit of numpy I can convert images into numpy and print them out. Below I print out an entire batch. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fNCwuSTHljxM",
        "colab_type": "code",
        "outputId": "ed4ed613-ce80-4734-824f-7c8f16da4cce",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 220
        }
      },
      "source": [
        "## functions to show an image\n",
        "def imshow(img):\n",
        "    #img = img / 2 + 0.5     # unnormalize\n",
        "    npimg = img.numpy()\n",
        "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
        "\n",
        "## get some random training images\n",
        "dataiter = iter(trainloader)\n",
        "images, labels = dataiter.next()\n",
        "\n",
        "## show images\n",
        "imshow(torchvision.utils.make_grid(images))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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EsGvXLoaHhz26J3A90TIC8BpQJ4riL6a99SGwBXjx8//vuNZzaDQaHnnkEbKy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\nDAbDJMQYd4PBYJiE/B81BYfATVLarwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eXfF53MCxf7M",
        "colab_type": "text"
      },
      "source": [
        "The dimensions of our batches are as follow:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "onfWHzacxkmi",
        "colab_type": "code",
        "outputId": "f469ad3b-9f33-42e4-fa72-97fb0456e794",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "for images, labels in trainloader:\n",
        "    print(\"Image batch dimensions:\", images.shape)\n",
        "    print(\"Image label dimensions:\", labels.shape)\n",
        "    break"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Image batch dimensions: torch.Size([32, 1, 28, 28])\n",
            "Image label dimensions: torch.Size([32])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Sko2xLi6x8ti",
        "colab_type": "text"
      },
      "source": [
        "## The Model\n",
        "Now it's time to build the deep learning model that will be used to perform the image classification. We will keeps things simple and stack a few dense layers and a dropout layer to train our model.\n",
        "\n",
        "Let's discuss a bit about the model:\n",
        "\n",
        "- First of all the following structure involving a `class` is standard code that's used to build the neural network model in PyTorch:\n",
        "\n",
        "```python\n",
        "class MyModel(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(MyModel, self).__init__()\n",
        "        \n",
        "        # layers go here\n",
        "    \n",
        "    def forward(self, x):\n",
        "        \n",
        "        # computations go here\n",
        "```\n",
        "- The layers are defined inside `def __init__()`. `super(...).__init__()` is just there to stick things together. For our model, we stack a hidden layer (`self.d1`) followed by a dropout layer (`self.dropout`), which is then followed by an output layer (`self.d2`). \n",
        "- `nn.Linear(...)` defines the dense layer and it requires the `in` and `out` dimensions, which corresponds to the size of the input feature and output feature of that layer, respectively. \n",
        "- `nn.Dropout(...)` is used to define a dropout layer. Dropout is an approach in deep learning that helps a model to avoid overfitting. This means that dropout acts as a regularization technique that helps the model to not overfit on the images it has seen while training. We want this because we need a model that generalizes well to unseen examples -- in our case, the testing dataset. Dropout randomly zeroes some of the units of the neural network layer with probability of `p=0.2`. Read more about the dropout layer [here](https://pytorch.org/docs/stable/nn.html#dropout). \n",
        "- The entry point of the model, i.e. where the data enters, is placed under the `forward(...)` function. Typically, we also place other transformations we perform on the data while training inside this function. \n",
        "- In the `forward()` function we are performing a series of computations on the input data\n",
        "    - we flatten the images first, converting it from 2D (`28 X 28`) to 1D (`1 X 784`).\n",
        "    - then we feed the batches of those 1D images into the first hidden layer\n",
        "    - the output of that hidden layer is then applied a [non-linear activate function](https://en.wikipedia.org/wiki/Rectifier_(neural_networks)) called `ReLU`. It's not so important to know what `F.relu()` does at the moment, but the effect that it achieves is that it allows faster and more effective training of neural architectures on large datasets\n",
        "    - as explained above, the dropout also helps the model to train more efficiently by avoiding overfitting on the training data\n",
        "    - we then feed the output of that dropout layer into the output layer (`d2`)\n",
        "    - the result of that is then fed to the [softmax function](https://en.wikipedia.org/wiki/Softmax_function), which converts or normalized the output into a probability distribution which helps with outputting proper predictions values that are used to calculate the accuracy of the model; this will the final output of the model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2FhO-24HxseW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "## the model\n",
        "class MyModel(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(MyModel, self).__init__()\n",
        "        self.d1 = nn.Linear(28 * 28, 128)\n",
        "        self.dropout = nn.Dropout(p=0.2)\n",
        "        self.d2 = nn.Linear(128, 10)\n",
        "    \n",
        "    def forward(self, x):\n",
        "        x = x.flatten(start_dim = 1)\n",
        "        x = self.d1(x)\n",
        "        x = F.relu(x)\n",
        "        x = self.dropout(x)\n",
        "        logits = self.d2(x)\n",
        "        out = F.softmax(logits, dim=1)\n",
        "        return out"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0ZqgEqSRBoKL",
        "colab_type": "text"
      },
      "source": [
        "Visually, the following is a diagram of the model we have built. Just keep in mind that the hidden layer is much bigger as shown in the diagram but due to space constraint, the diagram is just an approximation to the actual model. \n",
        "\n",
        "![alt text](https://drive.google.com/uc?export=view&id=1NuFflDPOW_hIAHTH2pXZAEhSINygPlnB)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xi_c1Fos_4no",
        "colab_type": "text"
      },
      "source": [
        "As I have done in my previous tutorials, I always encourage to test the model with 1 batch to ensure that the output dimensions are what we expect. Notice how we are iterating over the dataloader which conveniently stores the `images` and `labels` pairs. `out` contains the output of the model, which are the logits applied a `softmax` layer which helps with prediction. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eJuiB4J74N84",
        "colab_type": "code",
        "outputId": "6ae83dbf-516b-4b9e-f190-fc328154b247",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "## test the model with 1 batch\n",
        "model = MyModel()\n",
        "for images, labels in trainloader:\n",
        "    print(\"batch size:\", images.shape)\n",
        "    out = model(images)\n",
        "    print(out.shape)\n",
        "    break"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "batch size: torch.Size([32, 1, 28, 28])\n",
            "torch.Size([32, 10])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pxSu3yIbAn6B",
        "colab_type": "text"
      },
      "source": [
        "We can clearly see that we get back the batches with 10 output values associate with it. These are used to compute the performance of the model. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SNQbf3WPBBne",
        "colab_type": "text"
      },
      "source": [
        "## Training the Model\n",
        "Now we are ready to train the model but before that we are going to setup a loss function, an optimizer and a function to compute accuracy of the model. \n",
        "\n",
        "- The `learning_rate` is the rate at which the model will try to optimize its weights, which is just another parameter for the model. \n",
        "- `num_epochs` is the number of training steps. \n",
        "- `device` determines what hardware we will use to train the model. If a `gpu` is present, then that will be used, otherwise it defaults to the `cpu`.\n",
        "- `model` is just the model instance.\n",
        "- `model.to(device)` is in charge of setting the actaull device that will be used for training the model\n",
        "- `criterion` is just the metric that's used to compute the loss of the model while it forward and backward trains to optimize its weights. \n",
        "- `optimizer` is the optimization technique used to modify the weights in the backward propagation. Notice that it requires the `learning_rate` and the model parameters which are part of the calculation to optimize weights.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HvFAg3D4A_oz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "learning_rate = 0.001\n",
        "num_epochs = 5\n",
        "\n",
        "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
        "model = MyModel()\n",
        "model = model.to(device)\n",
        "criterion = nn.CrossEntropyLoss()\n",
        "optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OjhAkfrLZfvr",
        "colab_type": "text"
      },
      "source": [
        "The utility function below helps to calculate the accuracy of the model. For now, it's not important to understand how it's calculated but basically it compares the outputs of the model (predictions) with the actual target values (i.e., the labels of the dataset), and tries to compute the average of correct predictions."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JMXFCP24BNGS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "## utility function to compute accuracy\n",
        "def get_accuracy(output, target, batch_size):\n",
        "    ''' Obtain accuracy for training round '''\n",
        "    corrects = (torch.max(output, 1)[1].view(target.size()).data == target.data).sum()\n",
        "    accuracy = 100.0 * corrects/batch_size\n",
        "    return accuracy.item()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "czTadqw2Bapb",
        "colab_type": "text"
      },
      "source": [
        "## Training the Model\n",
        "Now it's time to train the model. The code portion that follows can be descrive in the following steps:\n",
        "\n",
        "- The first thing in training a neural network model is defining the training loop, which is achieved by:\n",
        "\n",
        "```python\n",
        "for epoch in range(num_epochs):\n",
        "    ...\n",
        "```\n",
        "\n",
        "- We define two variables, `training_running_loss` and `train_acc` that will help us to monitor the running accuracy and loss of the modes while it trains over the different batches.\n",
        "- `model.train()` explicitly indicates that we are ready to start training. \n",
        "- Notice how we are iterating over the dataloader, which conveniently gives us the batches in image-label pairs. \n",
        "- That second `for` loop means that for every training step we will iterate over all the batches and train the model over them.\n",
        "- We feed the model the images via `model(images)` and the output are the predictions of the model. \n",
        "- The predictions together with the target labels are used to compute the loss using the loss function we defined earlier.\n",
        "- Before we update our weights for the next round of training, we perform the following steps:\n",
        "    - we use the optimizer object to reset all the gradients for the variables it will update. This is a safe step and it doesn't overwrites the gradients the model accumulates while training (those are stored in a buffer [link text](https://pytorch.org/tutorials/beginner/pytorch_with_examples.html#pytorch-optim) via the `loss.backward() call)\n",
        "    - `loss.backward()` simply computes the gradient of the loss w.r.t to the model parameters\n",
        "    - `optimizer.step()` then ensures that the model parameters are updated\n",
        "\n",
        "- Then we gather and accumulate the loss and accuracy, which is what we will use to tell us if the model is learning properly"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a-WMQXIWBZ3U",
        "colab_type": "code",
        "outputId": "128034c1-d5da-431f-b786-9a32e0e64931",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "## train the model\n",
        "for epoch in range(num_epochs):\n",
        "    train_running_loss = 0.0\n",
        "    train_acc = 0.0\n",
        "\n",
        "    ## commence training\n",
        "    model = model.train()\n",
        "\n",
        "    ## training step\n",
        "    for i, (images, labels) in enumerate(trainloader):\n",
        "        \n",
        "        images = images.to(device)\n",
        "        labels = labels.to(device)\n",
        "\n",
        "        ## forward + backprop + loss\n",
        "        predictions = model(images)\n",
        "        loss = criterion(predictions, labels)\n",
        "        optimizer.zero_grad()\n",
        "        loss.backward()\n",
        "\n",
        "        ## update model params\n",
        "        optimizer.step()\n",
        "\n",
        "        train_running_loss += loss.detach().item()\n",
        "        train_acc += get_accuracy(predictions, labels, BATCH_SIZE)\n",
        "    \n",
        "    model.eval()\n",
        "    print('Epoch: %d | Loss: %.4f | Train Accuracy: %.2f' \\\n",
        "          %(epoch, train_running_loss / i, train_acc/i)) "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch: 0 | Loss: 1.5956 | Train Accuracy: 88.89\n",
            "Epoch: 1 | Loss: 1.5311 | Train Accuracy: 93.71\n",
            "Epoch: 2 | Loss: 1.5156 | Train Accuracy: 95.17\n",
            "Epoch: 3 | Loss: 1.5072 | Train Accuracy: 95.87\n",
            "Epoch: 4 | Loss: 1.5019 | Train Accuracy: 96.34\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NxSFFoeDjQj_",
        "colab_type": "text"
      },
      "source": [
        "After all the training steps are over, we can clearly see that the loss keeps decreasing while the training accuracy of the model keeps rising, which is a good sign that the model is effectively learning to classify images.\n",
        "\n",
        "We can verify that by computing the accuracy on the testing dataset to see how well the model performs on the image classificaiton task. As you can see below, our basic CNN model is performing very well on the MNIST classification task."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vWU90wx9jpDS",
        "colab_type": "code",
        "outputId": "f689e774-fb18-4afb-b872-fd779dd19539",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "test_acc = 0.0\n",
        "for i, (images, labels) in enumerate(testloader, 0):\n",
        "    images = images.to(device)\n",
        "    labels = labels.to(device)\n",
        "    outputs = model(images)\n",
        "    test_acc += get_accuracy(outputs, labels, BATCH_SIZE)\n",
        "        \n",
        "print('Test Accuracy: %.2f'%( test_acc/i))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Test Accuracy: 97.03\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ozX4V1GhPLyr",
        "colab_type": "text"
      },
      "source": [
        "## Final Words\n",
        "\n",
        "Congratulation! You have made it to the end of this tutorial. This is a really long tutorial that aims to give an very basic introduction to the fundamentals of image classification using neural networks and PyTorch.\n",
        "\n",
        "*This tutorial was heavily inspired by this [TensorFlow tutorial.](https://www.tensorflow.org/beta/tutorials/quickstart/beginner) We thank the authors of the corresponding reference for their valuable work.*"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4-o4w9vpPHZz",
        "colab_type": "text"
      },
      "source": [
        "## References\n",
        "- [PyTorch 1.2 Quickstart with Google Colab](https://medium.com/dair-ai/pytorch-1-2-quickstart-with-google-colab-6690a30c38d)\n",
        "- [Get started with TensorFlow 2.0 for beginners](https://www.tensorflow.org/beta/tutorials/quickstart/beginner)\n",
        "- [PyTorch Data Loading Tutorial](https://pytorch.org/tutorials/beginner/data_loading_tutorial.html)\n",
        "-[ Neural Networks with PyTorch](https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html#sphx-glr-beginner-blitz-neural-networks-tutorial-py)"
      ]
    }
  ]
}